{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T12:19:54Z","timestamp":1783081194276,"version":"3.54.6"},"reference-count":181,"publisher":"Springer Science and Business Media LLC","issue":"S1","license":[{"start":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T00:00:00Z","timestamp":1688083200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T00:00:00Z","timestamp":1688083200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Artif Intell Rev"],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1007\/s10462-023-10515-2","type":"journal-article","created":{"date-parts":[[2023,6,30]],"date-time":"2023-06-30T06:03:07Z","timestamp":1688104987000},"page":"567-660","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Systematic literature review on identifying influencers in social networks"],"prefix":"10.1007","volume":"56","author":[{"given":"Seyed Farid","family":"Seyfosadat","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Reza","family":"Ravanmehr","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,6,30]]},"reference":[{"key":"10515_CR1","doi-asserted-by":"crossref","first-page":"124247","DOI":"10.1016\/j.physa.2020.124247","volume":"553","author":"NAR Abd Al-Azim","year":"2020","unstructured":"Abd Al-Azim NAR, Gharib TF, Afify Y, Hamdy M (2020) Influence propagation: Interest groups and node ranking models. Physica A: Statistical Mech and its Appl 553:124247","journal-title":"Physica A: Statistical Mech and its Appl"},{"issue":"6","key":"10515_CR2","doi-asserted-by":"crossref","DOI":"10.1016\/j.ipm.2020.102321","volume":"57","author":"S Agarwal","year":"2020","unstructured":"Agarwal S, Mehta S (2020) Effective influence estimation in twitter using temporal, profile, structural and interaction characteristics. Inf Process Manage 57(6):102321","journal-title":"Inf Process Manage"},{"issue":"12","key":"10515_CR3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s42452-020-03812-w","volume":"2","author":"Z Aghaee","year":"2020","unstructured":"Aghaee Z, Kianian S (2020) Influence maximization algorithm based on reducing search space in the social networks. SN Appl Sci 2(12):1\u201314","journal-title":"SN Appl Sci"},{"key":"10515_CR4","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.socnet.2017.11.004","volume":"54","author":"S Ahajjam","year":"2018","unstructured":"Ahajjam S, El Haddad M, Badir H (2018) A new scalable leader-community detection approach for community detection in social networks. Soc Net 54:41\u201349","journal-title":"Soc Net"},{"key":"10515_CR5","doi-asserted-by":"crossref","unstructured":"Alassani, R. and G\u00f6retz, J. Product Placements by Micro and Macro Influencers on Instagram. in Social Computing and Social Media. Communication and Social Communities. 2019. Cham: Springer International Publishing.","DOI":"10.1007\/978-3-030-21905-5_20"},{"key":"10515_CR6","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1016\/j.physa.2016.11.002","volume":"468","author":"MA Al-garadi","year":"2017","unstructured":"Al-garadi MA, Varathan KD, Ravana SD (2017) Identification of influential spreaders in online social networks using interaction weighted K-core decomposition method. Physica A 468:278\u2013288","journal-title":"Physica A"},{"issue":"1","key":"10515_CR7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3155897","volume":"51","author":"MA Al-Garadi","year":"2018","unstructured":"Al-Garadi MA, Varathan KD, Ravana SD, Ahmed E, Mujtaba G, Khan MUS, Khan SU (2018) Analysis of online social network connections for identification of influential users: survey and open research issues. ACM Computing Surveys (CSUR) 51(1):1\u201337","journal-title":"ACM Computing Surveys (CSUR)"},{"issue":"5","key":"10515_CR8","doi-asserted-by":"crossref","first-page":"2463","DOI":"10.1007\/s12652-021-03364-w","volume":"13","author":"AM Al-Oraiqat","year":"2022","unstructured":"Al-Oraiqat AM, Ulichev OS, Meleshko YV, AlRawashdeh HS, Smirnov OO, Polishchuk LI (2022) Modeling strategies for information influence dissemination in social networks. J Ambient Intell Humaniz Comput 13(5):2463\u20132477","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"10515_CR9","doi-asserted-by":"crossref","unstructured":"Alp, Z.Z. and \u00d6\u011f\u00fcd\u00fcc\u00fc, \u015e.G. Influential user detection on Twitter: analyzing effect of focus rate. in 2016 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). 2016. IEEE.","DOI":"10.1109\/ASONAM.2016.7752407"},{"key":"10515_CR10","doi-asserted-by":"crossref","unstructured":"Althbiti, A. and Ma, X. Social Network Influencers\u2019 Data Augmenting Recommender Systems. in 2020 International Conference on Computational Science and Computational Intelligence (CSCI). 2020. IEEE.","DOI":"10.1109\/CSCI51800.2020.00055"},{"key":"10515_CR11","doi-asserted-by":"crossref","unstructured":"Amati, G., Angelini, S., Gambosi, G., Rossi, G., and Vocca, P. The Analysis of Influential Users Evolution in Microblogging Social Networks. in International Conference on Smart Objects and Technologies for Social Good. 2017. Springer.","DOI":"10.1007\/978-3-319-76111-4_26"},{"key":"10515_CR12","doi-asserted-by":"crossref","unstructured":"Anger, I. and Kittl, C., Measuring influence on Twitter, in Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies. 2011, Association for Computing Machinery: Graz, Austria. p. Article 31.","DOI":"10.1145\/2024288.2024326"},{"key":"10515_CR13","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.jretconser.2019.03.012","volume":"49","author":"A Arora","year":"2019","unstructured":"Arora A, Bansal S, Kandpal C, Aswani R, Dwivedi Y (2019) Measuring social media influencer index-insights from Facebook, Twitter and Instagram. J Retail Consum Serv 49:86\u2013101","journal-title":"J Retail Consum Serv"},{"issue":"2","key":"10515_CR14","doi-asserted-by":"crossref","first-page":"4035","DOI":"10.1007\/s10586-018-2616-y","volume":"22","author":"A Arularasan","year":"2019","unstructured":"Arularasan A, Suresh A, Seerangan K (2019) Identification and classification of best spreader in the domain of interest over the social networks. Clust Comput 22(2):4035\u20134045","journal-title":"Clust Comput"},{"key":"10515_CR15","doi-asserted-by":"crossref","first-page":"100393","DOI":"10.1016\/j.cosrev.2021.100393","volume":"40","author":"M Azaouzi","year":"2021","unstructured":"Azaouzi M, Mnasri W, Ben Romdhane L (2021) New trends in influence maximization models. Comput Sci Rev 40:100393","journal-title":"Comput Sci Rev"},{"issue":"2","key":"10515_CR16","doi-asserted-by":"crossref","first-page":"2098","DOI":"10.1007\/s11227-021-03947-6","volume":"78","author":"M Bahutair","year":"2022","unstructured":"Bahutair M, Al Aghbari Z, Kamel I (2022) NodeRank: finding influential nodes in social networks based on interests. J Supercomput 78(2):2098\u20132124","journal-title":"J Supercomput"},{"key":"10515_CR17","doi-asserted-by":"crossref","unstructured":"Bakshy, E., Hofman, J.M., Mason, W.A., and Watts, D.J., Everyone's an influencer: quantifying influence on twitter, in Proceedings of the fourth ACM international conference on Web search and data mining. 2011, Association for Computing Machinery: Hong Kong, China. p. 65\u201374.","DOI":"10.1145\/1935826.1935845"},{"issue":"9","key":"10515_CR18","doi-asserted-by":"crossref","first-page":"3417","DOI":"10.1007\/s10115-020-01461-4","volume":"62","author":"S Banerjee","year":"2020","unstructured":"Banerjee S, Jenamani M, Pratihar DK (2020) A survey on influence maximization in a social network. Knowl Inf Syst 62(9):3417\u20133455","journal-title":"Knowl Inf Syst"},{"key":"10515_CR19","doi-asserted-by":"crossref","DOI":"10.1016\/j.jretconser.2022.103149","volume":"70","author":"S Barta","year":"2023","unstructured":"Barta S, Belanche D, Fern\u00e1ndez A, Flavi\u00e1n M (2023) Influencer marketing on TikTok: the effectiveness of humor and followers\u2019 hedonic experience. J Retail Consum Serv 70:103149","journal-title":"J Retail Consum Serv"},{"key":"10515_CR20","doi-asserted-by":"crossref","unstructured":"Bawack, R.E. and Bonhoure, E. Influencer is the New Recommender: Insights for Enhancing Social Recommender Systems. in Conference on e-Business, e-Services and e-Society. 2021. Springer.","DOI":"10.1007\/978-3-030-85447-8_56"},{"issue":"3","key":"10515_CR21","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1109\/TCSS.2019.2907553","volume":"6","author":"AK Bhowmick","year":"2019","unstructured":"Bhowmick AK, Gueuning M, Delvenne J-C, Lambiotte R, Mitra B (2019) Temporal sequence of retweets help to detect influential nodes in social networks. IEEE Trans Comput Soc Syst 6(3):441\u2013455","journal-title":"IEEE Trans Comput Soc Syst"},{"key":"10515_CR22","doi-asserted-by":"crossref","DOI":"10.1016\/j.datak.2022.102048","volume":"140","author":"G Bonifazi","year":"2022","unstructured":"Bonifazi G, Cauteruccio F, Corradini E, Marchetti M, Pierini A, Terracina G, Ursino D, Virgili L (2022a) An approach to detect backbones of information diffusers among different communities of a social platform. Data Knowl Eng 140:102048","journal-title":"Data Knowl Eng"},{"issue":"1","key":"10515_CR23","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1186\/s40537-022-00586-3","volume":"9","author":"G Bonifazi","year":"2022","unstructured":"Bonifazi G, Corradini E, Ursino D, Virgili L (2022b) Defining user spectra to classify Ethereum users based on their behavior. Journal of Big Data 9(1):37","journal-title":"Journal of Big Data"},{"issue":"10","key":"10515_CR24","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0240828","volume":"15","author":"E Bonnevie","year":"2020","unstructured":"Bonnevie E, Rosenberg SD, Kummeth C, Goldbarg J, Wartella E, Smyser J (2020a) Using social media influencers to increase knowledge and positive attitudes toward the flu vaccine. PLoS ONE 15(10):e0240828","journal-title":"PLoS ONE"},{"key":"10515_CR25","doi-asserted-by":"crossref","unstructured":"Bonnevie, E., Smith, S., Kummeth, C., Goldbarg, J., and Smyser, J., Using Social Media Influencers to Deliver Positive Information About the Flu Vaccine: Findings from a Multi-Year Qualitative Study. Available at SSRN 3697432, 2020b.","DOI":"10.2139\/ssrn.3697432"},{"issue":"1","key":"10515_CR26","doi-asserted-by":"crossref","first-page":"38","DOI":"10.1080\/08934215.2021.2015796","volume":"35","author":"BC Britt","year":"2022","unstructured":"Britt BC, Britt RK, Anderson J, Fahrenwald N, Harming S (2022) Finding the invisible leader: when a priori opinion leader identification is impossible. Commun Rep 35(1):38\u201352","journal-title":"Commun Rep"},{"issue":"7","key":"10515_CR27","doi-asserted-by":"crossref","first-page":"1348","DOI":"10.1109\/TKDE.2019.2903712","volume":"32","author":"Z Bu","year":"2020","unstructured":"Bu Z, Li H-J, Zhang C, Cao J, Li A, Shi Y (2020) Graph K-means based on leader identification, dynamic game, and opinion dynamics. IEEE Trans Knowl Data Eng 32(7):1348\u20131361","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"10515_CR28","doi-asserted-by":"crossref","first-page":"442","DOI":"10.1016\/j.ins.2019.10.075","volume":"513","author":"Y Chen","year":"2020","unstructured":"Chen Y, Qu Q, Ying Y, Li H, Shen J (2020) Semantics-aware influence maximization in social networks. Inf Sci 513:442\u2013464","journal-title":"Inf Sci"},{"key":"10515_CR29","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1016\/j.inffus.2021.06.004","volume":"76","author":"J Chen","year":"2021","unstructured":"Chen J, Kou G, Wang H, Zhao Y (2021) Influence identification of opinion leaders in social networks: an agent-based simulation on competing advertisements. Information Fusion 76:227\u2013242","journal-title":"Information Fusion"},{"issue":"2","key":"10515_CR30","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.jeconom.2021.02.008","volume":"228","author":"CY-H Chen","year":"2022","unstructured":"Chen CY-H, H\u00e4rdle WK, Klochkov Y (2022) SONIC: social network analysis with influencers and communities. Journal of Econometrics 228(2):177\u2013220","journal-title":"Journal of Econometrics"},{"key":"10515_CR31","doi-asserted-by":"crossref","unstructured":"Chen, Y.-C., Cheng, J.-Y., and Hsu, H.-H. A cluster-based opinion leader discovery in social network. in 2016 conference on technologies and applications of artificial intelligence (TAAI). 2016. IEEE.","DOI":"10.1109\/TAAI.2016.7880184"},{"issue":"8","key":"10515_CR32","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1109\/MCOM.001.2100786","volume":"60","author":"M Conti","year":"2022","unstructured":"Conti M, Gathani J, Tricomi PP (2022) Virtual Influencers in Online Social Media. IEEE Commun Mag 60(8):86\u201391","journal-title":"IEEE Commun Mag"},{"issue":"7","key":"10515_CR33","doi-asserted-by":"crossref","first-page":"4873","DOI":"10.1007\/s10462-021-10030-2","volume":"54","author":"K Cortis","year":"2021","unstructured":"Cortis K, Davis B (2021) Over a decade of social opinion mining: a systematic review. Artif Intell Rev 54(7):4873\u20134965","journal-title":"Artif Intell Rev"},{"key":"10515_CR34","doi-asserted-by":"crossref","DOI":"10.1016\/j.cose.2021.102505","volume":"112","author":"D Dang-Pham","year":"2022","unstructured":"Dang-Pham D, Kautz K, Hoang A-P, Pittayachawan S (2022) Identifying information security opinion leaders in organizations: Insights from the theory of social power bases and social network analysis. Comput Secur 112:102505","journal-title":"Comput Secur"},{"issue":"5","key":"10515_CR35","doi-asserted-by":"crossref","first-page":"798","DOI":"10.1080\/02650487.2017.1348035","volume":"36","author":"M De Veirman","year":"2017","unstructured":"De Veirman M, Cauberghe V, Hudders L (2017) Marketing through Instagram influencers: the impact of number of followers and product divergence on brand attitude. Int J Advert 36(5):798\u2013828","journal-title":"Int J Advert"},{"key":"10515_CR36","volume":"603","author":"C Dong","year":"2022","unstructured":"Dong C, Xu G, Meng L, Yang P (2022) CPR-TOPSIS: A novel algorithm for finding influential nodes in complex networks based on communication probability and relative entropy. Physica A 603:127797","journal-title":"Physica A"},{"key":"10515_CR37","doi-asserted-by":"crossref","first-page":"403","DOI":"10.1016\/j.eswa.2017.10.006","volume":"92","author":"AB Eliacik","year":"2018","unstructured":"Eliacik AB, Erdogan N (2018) Influential user weighted sentiment analysis on topic based microblogging community. Expert Syst Appl 92:403\u2013418","journal-title":"Expert Syst Appl"},{"key":"10515_CR38","volume":"20","author":"JD Featherstone","year":"2020","unstructured":"Featherstone JD, Barnett GA, Ruiz JB, Zhuang Y, Millam BJ (2020) Exploring childhood anti-vaccine and pro-vaccine communities on twitter\u2013a perspective from influential users. Online Soc Net Media 20:100105","journal-title":"Online Soc Net Media"},{"key":"10515_CR39","volume":"150","author":"P Gao","year":"2020","unstructured":"Gao P, Hung J, Xu Y (2020) A k-core decomposition-based opinion leaders identifying method and clustering-based consensus model for large-scale group decision making. Comput Ind Eng 150:106842","journal-title":"Comput Ind Eng"},{"key":"10515_CR40","unstructured":"Geyser, W. The State of Influencer Marketing 2023: Benchmark Report. 2023; Available from: https:\/\/influencermarketinghub.com\/influencer-marketing-benchmark-report\/."},{"key":"10515_CR41","volume":"171","author":"BA Girgin","year":"2021","unstructured":"Girgin BA (2021) Ranking influencers of social networks by semantic kernels and sentiment information. Expert Syst Appl 171:114599","journal-title":"Expert Syst Appl"},{"key":"10515_CR42","doi-asserted-by":"crossref","unstructured":"Haenlein, M., Anadol, E., Farnsworth, T., Hugo, H., Hunichen, J., and Welte, D., 2020 Navigating the New Era of Influencer Marketing: How to be Successful on Instagram, TikTok, & Co. California Management Review. 63(1): 5\u201325.","DOI":"10.1177\/0008125620958166"},{"key":"10515_CR43","doi-asserted-by":"crossref","DOI":"10.1016\/j.physa.2021.126708","volume":"591","author":"K Hajarathaiah","year":"2022","unstructured":"Hajarathaiah K, Enduri MK, Anamalamudi S (2022) Efficient algorithm for finding the influential nodes using local relative change of average shortest path. Physica A 591:126708","journal-title":"Physica A"},{"key":"10515_CR44","doi-asserted-by":"publisher","DOI":"10.1145\/3449227","author":"J Han","year":"2021","unstructured":"Han J, Chen Q, Jin X, Xu W, Yang W, Kumar S, Zhao L, Sundaram H, Kumar R (2021) FITNet: identifying fashion influencers on Twitter. Proc of the ACM Hum-Comput Interact. https:\/\/doi.org\/10.1145\/3449227","journal-title":"Proc of the ACM Hum.-Comput. Interact"},{"key":"10515_CR45","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijinfomgt.2020.102246","volume":"56","author":"P Harrigan","year":"2021","unstructured":"Harrigan P, Daly TM, Coussement K, Lee JA, Soutar GN, Evers U (2021) Identifying influencers on social media. Int J Inf Manage 56:102246","journal-title":"Int J Inf Manage"},{"key":"10515_CR46","doi-asserted-by":"crossref","unstructured":"Hasson, S.T. and Akeel, E. Influence maximization problem approach to model social networks. in 2019 International Conference on Advanced Science and Engineering (ICOASE). 2019. IEEE.","DOI":"10.1109\/ICOASE.2019.8723703"},{"key":"10515_CR47","volume":"592","author":"L Hou","year":"2022","unstructured":"Hou L (2022) Network versus content: the effectiveness in identifying opinion leaders in an online social network with empirical evaluation. Physica A 592:126879","journal-title":"Physica A"},{"key":"10515_CR48","doi-asserted-by":"crossref","unstructured":"Hou, X., Lei, C.-U., and Kwok, Y.-K. OP-DCI: A riskless K-means clustering for influential user identification in MOOC forum. in 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA). 2017. IEEE.","DOI":"10.1109\/ICMLA.2017.00-34"},{"issue":"23","key":"10515_CR49","doi-asserted-by":"crossref","first-page":"8416","DOI":"10.3390\/app10238416","volume":"10","author":"C-C Huang","year":"2020","unstructured":"Huang C-C, Liang W-Y, Chen P-A, Chan Y-C (2020a) Identification of opinion leaders and followers\u2014a case study of green energy and low carbons. Appl Sci 10(23):8416","journal-title":"Appl Sci"},{"issue":"4","key":"10515_CR50","doi-asserted-by":"crossref","first-page":"450","DOI":"10.3390\/e22040450","volume":"22","author":"X Huang","year":"2020","unstructured":"Huang X, Chen D, Wang D, Ren T (2020b) Identifying influencers in social networks. Entropy 22(4):450","journal-title":"Entropy"},{"issue":"9","key":"10515_CR51","doi-asserted-by":"crossref","first-page":"1449","DOI":"10.3390\/math8091449","volume":"8","author":"X Huang","year":"2020","unstructured":"Huang X, Chen D, Wang D, Ren T (2020c) MINE: identifying top-k vital nodes in complex networks via maximum influential neighbors expansion. Mathematics 8(9):1449","journal-title":"Mathematics"},{"issue":"7","key":"10515_CR52","doi-asserted-by":"crossref","first-page":"3064","DOI":"10.3390\/su12073064","volume":"12","author":"T Huynh","year":"2020","unstructured":"Huynh T, Nguyen H, Zelinka I, Dinh D, Pham XH (2020) Detecting the influencer on social networks using passion point and measures of information propagation. Sustainability 12(7):3064","journal-title":"Sustainability"},{"key":"10515_CR53","doi-asserted-by":"crossref","unstructured":"Huynh, T., Zelinka, I., Pham, X.H., and Nguyen, H.D. Some measures to detect the influencer on social network based on information propagation. in Proceedings of the 9th International Conference on Web Intelligence, Mining and Semantics. 2019.","DOI":"10.1145\/3326467.3326475"},{"key":"10515_CR54","doi-asserted-by":"crossref","unstructured":"Ibrahim, R.A., Hefny, H.A., and Hassanien, A.E. Group impact: local influence maximization in social networks. in International Conference on Advanced Intelligent Systems and Informatics. 2016. Springer.","DOI":"10.1007\/978-3-319-48308-5_43"},{"key":"10515_CR55","doi-asserted-by":"crossref","unstructured":"Israfilova, E., Arslan, A., Yildirim, N., and Kaya, T., Influencer identification system design using machine learning techniques. Advances in Intelligent Systems and Computing, 1197 AISC, 1092\u20131099. 2021.","DOI":"10.1007\/978-3-030-51156-2_127"},{"key":"10515_CR56","doi-asserted-by":"crossref","DOI":"10.1016\/j.techsoc.2022.102048","volume":"70","author":"L Jain","year":"2022","unstructured":"Jain L (2022) An entropy-based method to control COVID-19 rumors in online social networks using opinion leaders. Technol Soc 70:102048","journal-title":"Technol Soc"},{"key":"10515_CR57","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.eswa.2018.12.043","volume":"122","author":"L Jain","year":"2019","unstructured":"Jain L, Katarya R (2019) Discover opinion leader in online social network using firefly algorithm. Expert Syst Appl 122:1\u201315","journal-title":"Expert Syst Appl"},{"key":"10515_CR58","doi-asserted-by":"crossref","DOI":"10.1016\/j.chaos.2020.110037","volume":"139","author":"S Jain","year":"2020","unstructured":"Jain S, Sinha A (2020) Identification of influential users on Twitter: a novel weighted correlated influence measure for covid-19. Chaos, Solitons Fractals 139:110037","journal-title":"Chaos, Solitons Fractals"},{"key":"10515_CR59","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2019.113016","volume":"142","author":"L Jain","year":"2020","unstructured":"Jain L, Katarya R, Sachdeva S (2020) Opinion leader detection using whale optimization algorithm in online social network. Expert Syst Appl 142:113016","journal-title":"Expert Syst Appl"},{"key":"10515_CR60","volume":"202","author":"R Javadpour Boroujeni","year":"2022","unstructured":"Javadpour Boroujeni R, Soleimani S (2022) The role of influential nodes and their influence domain in community detection: an approximate method for maximizing modularity. Exp Syst with Appl 202:117452","journal-title":"Exp Syst with Appl"},{"issue":"5","key":"10515_CR61","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1108\/MIP-09-2018-0375","volume":"37","author":"SV Jin","year":"2019","unstructured":"Jin SV, Muqaddam A, Ryu E (2019) Instafamous and social media influencer marketing. Mark Intell Plan 37(5):567\u2013579","journal-title":"Mark Intell Plan"},{"key":"10515_CR62","doi-asserted-by":"crossref","unstructured":"Kaur, S., Saxena, R., and Bhatnagar, V. Leveraging hierarchy and community structure for determining influencers in networks. in International Conference on Big Data Analytics and Knowledge Discovery. 2017. Springer.","DOI":"10.1007\/978-3-319-64283-3_28"},{"key":"10515_CR63","doi-asserted-by":"crossref","DOI":"10.1016\/j.physa.2022.127314","volume":"598","author":"F Kazemzadeh","year":"2022","unstructured":"Kazemzadeh F, Safaei AA, Mirzarezaee M (2022) Influence maximization in social networks using effective community detection. Physica A 598:127314","journal-title":"Physica A"},{"key":"10515_CR64","doi-asserted-by":"crossref","unstructured":"Kim, S., Jiang, J.-Y., and Wang, W., Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning, in Proceedings of the 14th ACM International Conference on Web Search and Data Mining. 2021, Association for Computing Machinery: Virtual Event, Israel. p. 319\u2013327.","DOI":"10.1145\/3437963.3441803"},{"issue":"1","key":"10515_CR65","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.infsof.2008.09.009","volume":"51","author":"B Kitchenham","year":"2009","unstructured":"Kitchenham B, Pearl Brereton O, Budgen D, Turner M, Bailey J, Linkman S (2009) Systematic literature reviews in software engineering \u2013 a systematic literature review. Inf Softw Technol 51(1):7\u201315","journal-title":"Inf Softw Technol"},{"issue":"1","key":"10515_CR66","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40649-017-0049-z","volume":"5","author":"V Kuikka","year":"2018","unstructured":"Kuikka V (2018) Influence spreading model used to analyse social networks and detect sub-communities. Comput Soc Net 5(1):1\u201339","journal-title":"Comput Soc Net"},{"key":"10515_CR67","doi-asserted-by":"crossref","unstructured":"Kumar, S., Gupta, A., and Khatri, I., CSR: A community based spreaders ranking algorithm for influence maximization in social networks. World Wide Web, 2022.","DOI":"10.1007\/s11280-021-00996-y"},{"key":"10515_CR68","volume":"553","author":"S Kumar","year":"2020","unstructured":"Kumar S, Panda B (2020) Identifying influential nodes in social networks: neighborhood coreness based voting approach. Physica A 553:124215","journal-title":"Physica A"},{"key":"10515_CR69","doi-asserted-by":"crossref","DOI":"10.1016\/j.jretconser.2019.102027","volume":"54","author":"R Ladhari","year":"2020","unstructured":"Ladhari R, Massa E, Skandrani H (2020) YouTube vloggers\u2019 popularity and influence: the roles of homophily, emotional attachment, and expertise. J Retail Consum Serv 54:102027","journal-title":"J Retail Consum Serv"},{"key":"10515_CR70","doi-asserted-by":"crossref","first-page":"725","DOI":"10.1016\/j.ins.2021.08.026","volume":"578","author":"S Li","year":"2021","unstructured":"Li S, Xiao F (2021) The identification of crucial spreaders in complex networks by effective gravity model. Inf Sci 578:725\u2013749","journal-title":"Inf Sci"},{"key":"10515_CR71","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.ins.2019.06.060","volume":"504","author":"C Li","year":"2019","unstructured":"Li C, Bai J, Zhang L, Tang H, Luo Y (2019) Opinion community detection and opinion leader detection based on text information and network topology in cloud environment. Inf Sci 504:61\u201383","journal-title":"Inf Sci"},{"issue":"6","key":"10515_CR72","volume":"57","author":"X Li","year":"2020","unstructured":"Li X, Sun C, Zia MA (2020) Social influence based community detection in event-based social networks. Inf Process Manage 57(6):102353","journal-title":"Inf Process Manage"},{"key":"10515_CR73","volume":"143","author":"H Li","year":"2021","unstructured":"Li H, Shang Q, Deng Y (2021) A generalized gravity model for influential spreaders identification in complex networks. Chaos, Solitons Fractals 143:110456","journal-title":"Chaos, Solitons Fractals"},{"key":"10515_CR74","unstructured":"Li, H., Huang, S., and Sun, G. An opinion leader perceptual model based on PageRank algorithm. in 2015 International Conference on Behavioral, Economic and Socio-cultural Computing (BESC). 2015. IEEE."},{"key":"10515_CR75","doi-asserted-by":"crossref","unstructured":"Li, Y., Fan, J., Zhang, D., and Tan, K.-L. 2017 Discovering your selling points: Personalized social influential tags exploration. In Proceedings of the 2017 ACM International Conference on Management of Data..","DOI":"10.1145\/3035918.3035952"},{"key":"10515_CR76","doi-asserted-by":"crossref","unstructured":"Liao, X., Zheng, D., Wu, Y., and Cao, X. Should We Trust Influencers on Social Networks? On Instagram Sponsored Post Analysis. in 2021 International Conference on Computer Communications and Networks (ICCCN). 2021.","DOI":"10.1109\/ICCCN52240.2021.9522209"},{"key":"10515_CR77","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1016\/j.ins.2020.07.040","volume":"544","author":"L-F Lin","year":"2021","unstructured":"Lin L-F, Li Y-M (2021) An efficient approach to identify social disseminators for timely information diffusion. Inf Sci 544:78\u201396","journal-title":"Inf Sci"},{"key":"10515_CR78","doi-asserted-by":"publisher","DOI":"10.1108\/EJMBE-10-2017-020","author":"AM Litterio","year":"2017","unstructured":"Litterio AM, Nantes EA, Larrosa JM, G\u00f3mez LJ (2017) Marketing and social networks: a criterion for detecting opinion leaders. European J Manag and Business Economics. https:\/\/doi.org\/10.1108\/EJMBE-10-2017-020","journal-title":"European J Manag and Business Economics"},{"key":"10515_CR79","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.cie.2018.06.008","volume":"122","author":"Y Liu","year":"2018","unstructured":"Liu Y, Fan Z-P, You T-H, Zhang W-Y (2018) Large group decision-making (LGDM) with the participators from multiple subgroups of stakeholders: a method considering both the collective evaluation and the fairness of the alternative. Comput Ind Eng 122:262\u2013272","journal-title":"Comput Ind Eng"},{"key":"10515_CR80","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.physa.2018.11.045","volume":"519","author":"X-C Liu","year":"2019","unstructured":"Liu X-C, Zhu X-Z, Tian H, Zhang Z-P, Wang W (2019) Identifying localized influential spreaders of information spreading. Physica A 519:92\u201397","journal-title":"Physica A"},{"key":"10515_CR81","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3148778","author":"X Liu","year":"2022","unstructured":"Liu X, Ye S, Fiumara G, Meo PD (2022) Influential spreaders identification in complex networks with TOPSIS and K-shell decomposition. IEEE Trans Comput Soc Syst. https:\/\/doi.org\/10.1109\/TCSS.2022.3148778","journal-title":"IEEE Trans Comput Soc Syst"},{"key":"10515_CR82","volume":"586","author":"JJ Lotf","year":"2022","unstructured":"Lotf JJ, Azgomi MA, Dishabi MRE (2022) An improved influence maximization method for social networks based on genetic algorithm. Physica A 586:126480","journal-title":"Physica A"},{"key":"10515_CR83","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1016\/j.physa.2018.06.064","volume":"510","author":"N Ma","year":"2018","unstructured":"Ma N, Liu Y, Chi Y (2018) Influencer discovery algorithm in a multi-relational network. Physica A 510:415\u2013425","journal-title":"Physica A"},{"key":"10515_CR84","doi-asserted-by":"crossref","first-page":"533","DOI":"10.1016\/j.future.2019.12.022","volume":"105","author":"T Ma","year":"2020","unstructured":"Ma T, Liu Q, Cao J, Tian Y, Al-Dhelaan A, Al-Rodhaan M (2020) LGIEM: global and local node influence based community detection. Futur Gener Comput Syst 105:533\u2013546","journal-title":"Futur Gener Comput Syst"},{"key":"10515_CR85","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/1528341","author":"C Mao","year":"2018","unstructured":"Mao C, Xiao W (2018) A comprehensive algorithm for evaluating node influences in social networks based on preference analysis and random walk. Complexity. https:\/\/doi.org\/10.1155\/2018\/1528341","journal-title":"Complexity"},{"issue":"1","key":"10515_CR86","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1109\/TNSE.2020.3044299","volume":"8","author":"Y Mao","year":"2021","unstructured":"Mao Y, Zhou L, Xiong N (2021) TPS: a topological potential scheme to predict influential network nodes for intelligent communication in social networks. IEEE Trans on Net Sci and Eng 8(1):529\u2013540","journal-title":"IEEE Trans on Net Sci and Eng"},{"key":"10515_CR87","volume":"25","author":"P Martins","year":"2021","unstructured":"Martins P, Martins FA (2021) Launcher nodes for detecting efficient influencers in social networks. Online Soc Net and Media 25:100157","journal-title":"Online Soc Net and Media"},{"issue":"4","key":"10515_CR88","doi-asserted-by":"crossref","first-page":"2313","DOI":"10.1007\/s10462-019-09770-z","volume":"53","author":"Y Mehta","year":"2020","unstructured":"Mehta Y, Majumder N, Gelbukh A, Cambria E (2020) Recent trends in deep learning based personality detection. Artif Intell Rev 53(4):2313\u20132339","journal-title":"Artif Intell Rev"},{"key":"10515_CR89","doi-asserted-by":"crossref","DOI":"10.1016\/j.jocs.2022.101591","volume":"60","author":"L Meng","year":"2022","unstructured":"Meng L, Xu G, Yang P, Tu D (2022) A novel potential edge weight method for identifying influential nodes in complex networks based on neighborhood and position. J Comput Sci 60:101591","journal-title":"J Comput Sci"},{"key":"10515_CR90","doi-asserted-by":"crossref","first-page":"1861","DOI":"10.1016\/j.procs.2020.03.205","volume":"167","author":"D Mittal","year":"2020","unstructured":"Mittal D, Suthar P, Patil M, Pranaya P, Rana DP, Tidke B (2020) Social network influencer rank recommender using diverse features from topical graph. Procedia Comput Sci 167:1861\u20131871","journal-title":"Procedia Comput Sci"},{"key":"10515_CR91","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-021-02203-x","author":"W Mnasri","year":"2021","unstructured":"Mnasri W, Azaouzi M, Romdhane LB (2021) Parallel social behavior-based algorithm for identification of influential users in social network. Appl Intell. https:\/\/doi.org\/10.1007\/s10489-021-02203-x","journal-title":"Appl Intell"},{"issue":"2","key":"10515_CR92","doi-asserted-by":"crossref","first-page":"989","DOI":"10.1007\/s10462-019-09685-9","volume":"53","author":"A Mohamed","year":"2020","unstructured":"Mohamed A, Najafabadi MK, Wah YB, Zaman EAK, Maskat R (2020) The state of the art and taxonomy of big data analytics: view from new big data framework. Artif Intell Rev 53(2):989\u20131037","journal-title":"Artif Intell Rev"},{"key":"10515_CR93","doi-asserted-by":"crossref","DOI":"10.1136\/bmj.b2535","volume":"339","author":"D Moher","year":"2009","unstructured":"Moher D, Liberati A, Tetzlaff J, Altman DG (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ 339:b2535","journal-title":"BMJ"},{"issue":"1","key":"10515_CR94","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1007\/s10462-020-09851-4","volume":"54","author":"D Monti","year":"2021","unstructured":"Monti D, Rizzo G, Morisio M (2021) A systematic literature review of multicriteria recommender systems. Artif Intell Rev 54(1):427\u2013468","journal-title":"Artif Intell Rev"},{"key":"10515_CR95","doi-asserted-by":"crossref","unstructured":"Moraes L, Cordeiro R (2019) Detecting influencers in very large social networks of games. In: Proceedings of the 21st international conference on enterprise information systems, ICEIS, pp 93\u2013103","DOI":"10.5220\/0007728200930103"},{"key":"10515_CR96","doi-asserted-by":"crossref","unstructured":"More, J.S. and Lingam, C. A scalable data mining model for social media influencer identification. In International Conference on Smart Trends for Information Technology and Computer Communications. 2016. Springer.","DOI":"10.1007\/978-981-10-3433-6_75"},{"issue":"2","key":"10515_CR97","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1016\/j.aci.2017.11.001","volume":"15","author":"JS More","year":"2019","unstructured":"More JS, Lingam C (2019) A SI model for social media influencer maximization. Appl Comput and Inform 15(2):102\u2013108","journal-title":"Appl Comput and Inform"},{"key":"10515_CR98","doi-asserted-by":"crossref","unstructured":"Mussiraliyeva, S., Baispay, G., Ospanov, R., Medetbek, Z., and Shalabayev, K. Graphical Visualization of the Connections of Involved Users and Identifying Influential Spreaders in a Social Network. in 2022 9th International Conference on Electrical and Electronics Engineering (ICEEE). 2022.","DOI":"10.1109\/ICEEE55327.2022.9772556"},{"key":"10515_CR99","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2022.117791","volume":"206","author":"A Namtirtha","year":"2022","unstructured":"Namtirtha A, Dutta B, Dutta A (2022) Semi-global triangular centrality measure for identifying the influential spreaders from undirected complex networks. Expert Syst Appl 206:117791","journal-title":"Expert Syst Appl"},{"key":"10515_CR100","doi-asserted-by":"crossref","first-page":"2435","DOI":"10.1016\/j.procs.2015.05.428","volume":"51","author":"A Neves","year":"2015","unstructured":"Neves A, Vieira R, Mourao F, Rocha L (2015) Quantifying complementarity among strategies for influencers\u2019 detection on Twitter. Procedia Computer Sci 51:2435\u20132444","journal-title":"Procedia Computer Sci"},{"key":"10515_CR101","volume":"203","author":"Y Ou","year":"2022","unstructured":"Ou Y, Guo Q, Xing J-L, Liu J-G (2022) Identification of spreading influence nodes via multi-level structural attributes based on the graph convolutional network. Expert Syst Appl 203:117515","journal-title":"Expert Syst Appl"},{"issue":"1","key":"10515_CR102","doi-asserted-by":"crossref","DOI":"10.1002\/cpe.5692","volume":"33","author":"W Oueslati","year":"2021","unstructured":"Oueslati W, Arrami S, Dhouioui Z, Massaabi M (2021) Opinion leaders\u2019 detection in dynamic social networks. Concurrency and Comput: Practice and Exp 33(1):e5692","journal-title":"Concurrency and Comput: Practice and Exp"},{"key":"10515_CR103","volume":"372","author":"MJ Page","year":"2021","unstructured":"Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hr\u00f3bjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D (2021) The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372:n71","journal-title":"BMJ"},{"key":"10515_CR104","doi-asserted-by":"crossref","first-page":"1140","DOI":"10.1016\/j.proeng.2015.12.434","volume":"131","author":"S Pajo","year":"2015","unstructured":"Pajo S, Verhaegen P-A, Vandevenne D, Duflou JR (2015) Fast lead user identification framework. Procedia Eng 131:1140\u20131145","journal-title":"Procedia Eng"},{"issue":"9","key":"10515_CR105","doi-asserted-by":"crossref","first-page":"4398","DOI":"10.1109\/TKDE.2020.3040028","volume":"34","author":"G Panagopoulos","year":"2020","unstructured":"Panagopoulos G, Malliaros F, Vazirgiannis M (2020) Multi-task learning for influence estimation and maximization. IEEE Trans Knowledge and Data Eng 34(9):4398\u20134409","journal-title":"IEEE Trans Knowledge and Data Eng"},{"key":"10515_CR106","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.jnca.2018.01.005","volume":"106","author":"S Peng","year":"2018","unstructured":"Peng S, Zhou Y, Cao L, Yu S, Niu J, Jia W (2018) Influence analysis in social networks: a survey. J Netw Comput Appl 106:17\u201332","journal-title":"J Netw Comput Appl"},{"issue":"3","key":"10515_CR107","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1080\/1553118X.2022.2042694","volume":"16","author":"E P\u00f6yry","year":"2022","unstructured":"P\u00f6yry E, Reinikainen H, Luoma-Aho V (2022) The role of social media influencers in public health communication: case COVID-19 pandemic. Int J Strateg Commun 16(3):469\u2013484","journal-title":"Int J Strateg Commun"},{"key":"10515_CR108","doi-asserted-by":"crossref","unstructured":"Prado-Romero, M.A., Oliva, A.F., and Hern\u00e1ndez, L.G. Identifying twitter users influence and open mindedness using anomaly detection. in International Workshop on Artificial Intelligence and Pattern Recognition. 2018. Springer.","DOI":"10.1007\/978-3-030-01132-1_19"},{"key":"10515_CR109","unstructured":"Qing, L., Wei, W., Yi, H., and Qian, Z. Analyzing the influential people in Sina Weibo dataset. in 2013 IEEE Global Communications Conference (GLOBECOM). 2013."},{"key":"10515_CR110","doi-asserted-by":"crossref","unstructured":"Rakoczy, M.E., Bouzeghoub, A., Gancarski, A.L., and Wegrzyn-Wolska, K. In the search of quality influence on a small scale\u2013micro-influencers discovery. in OTM Confederated International Conferences\" On the Move to Meaningful Internet Systems\u201d 2018. Springer.","DOI":"10.1007\/978-3-030-02671-4_8"},{"key":"10515_CR111","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-019-01623-5","author":"AU Rehman","year":"2020","unstructured":"Rehman AU, Jiang A, Rehman A, Paul A, Sadiq MT (2020) Identification and role of opinion leaders in information diffusion for online discussion network. J Ambient Intell and Humanized Comput. https:\/\/doi.org\/10.1007\/s12652-019-01623-5","journal-title":"J Ambient Intell and Humanized Comput"},{"key":"10515_CR112","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.neucom.2017.01.123","volume":"326","author":"SA Rios","year":"2019","unstructured":"Rios SA, Aguilera F, Nu\u00f1ez-Gonzalez JD, Gra\u00f1a M (2019) Semantically enhanced network analysis for influencer identification in online social networks. Neurocomputing 326:71\u201381","journal-title":"Neurocomputing"},{"key":"10515_CR113","doi-asserted-by":"crossref","first-page":"75670","DOI":"10.1109\/ACCESS.2019.2922155","volume":"7","author":"F Riquelme","year":"2019","unstructured":"Riquelme F, Gonzalez-Cantergiani P, Hans D, Villarroel R, Munoz R (2019) Identifying opinion leaders on social networks through milestones definition. IEEE Access 7:75670\u201375677","journal-title":"IEEE Access"},{"key":"10515_CR114","doi-asserted-by":"publisher","DOI":"10.1007\/s42001-022-00161-z","author":"D R\u00f6chert","year":"2022","unstructured":"R\u00f6chert D, Cargnino M, Neubaum G (2022) Two sides of the same leader: an agent-based model to analyze the effect of ambivalent opinion leaders in social networks. J Comput Soc Sci. https:\/\/doi.org\/10.1007\/s42001-022-00161-z","journal-title":"J Comput Soc Sci"},{"issue":"7","key":"10515_CR115","first-page":"675","volume":"70","author":"J Rodr\u00edguez-Vidal","year":"2019","unstructured":"Rodr\u00edguez-Vidal J, Gonzalo J, Plaza L, S\u00e1nchez HA (2019) Automatic detection of influencers in social networks: authority versus domain signals. J Am Soc Inf Sci 70(7):675\u2013684","journal-title":"J Am Soc Inf Sci"},{"issue":"2","key":"10515_CR116","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3014164","volume":"17","author":"S Rosenthal","year":"2017","unstructured":"Rosenthal S, Mckeown K (2017) Detecting influencers in multiple online genres. ACM Trans on Internet Technol (TOIT) 17(2):1\u201322","journal-title":"ACM Trans on Internet Technol (TOIT)"},{"issue":"8","key":"10515_CR117","doi-asserted-by":"crossref","first-page":"858","DOI":"10.1080\/0144929X.2019.1566498","volume":"38","author":"PHB Ruas","year":"2019","unstructured":"Ruas PHB, Machado AD, Silva MC, Meireles MR, Cardoso AMP, Z\u00e1rate LE, Nobre CN (2019) Identification and characterisation of Facebook user profiles considering interaction aspects. Behav Inform Technol 38(8):858\u2013872","journal-title":"Behav Inform Technol"},{"issue":"7","key":"10515_CR118","doi-asserted-by":"crossref","first-page":"2684","DOI":"10.1007\/s10489-018-01398-w","volume":"49","author":"X Rui","year":"2019","unstructured":"Rui X, Meng F, Wang Z, Yuan G (2019) A reversed node ranking approach for influence maximization in social networks. Appl Intell 49(7):2684\u20132698","journal-title":"Appl Intell"},{"issue":"2","key":"10515_CR119","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1007\/s00607-019-00778-5","volume":"102","author":"X Rui","year":"2020","unstructured":"Rui X, Yang X, Fan J, Wang Z (2020) A neighbour scale fixed approach for influence maximization in social networks. Computing 102(2):427\u2013449","journal-title":"Computing"},{"key":"10515_CR120","doi-asserted-by":"crossref","unstructured":"Ruiz, J., Featherstone, J.D., and Barnett, G.A. Identifying Vaccine Hesitant Communities on Twitter and their Geolocations: A Network Approach. In Proceedings of the 54th Hawaii international conference on system sciences. 2021.","DOI":"10.24251\/HICSS.2021.480"},{"key":"10515_CR121","doi-asserted-by":"crossref","DOI":"10.1016\/j.asoc.2020.106858","volume":"99","author":"S Samanta","year":"2021","unstructured":"Samanta S, Dubey VK, Sarkar B (2021) Measure of influences in social networks. Appl Soft Comput 99:106858","journal-title":"Appl Soft Comput"},{"key":"10515_CR122","doi-asserted-by":"crossref","DOI":"10.1016\/j.physa.2021.126258","volume":"582","author":"AM Samir","year":"2021","unstructured":"Samir AM, Rady S, Gharib TF (2021) LKG: A fast scalable community-based approach for influence maximization problem in social networks. Physica A 582:126258","journal-title":"Physica A"},{"key":"10515_CR123","doi-asserted-by":"crossref","unstructured":"Sardana, N., Thakur, T., Mehrotra, M., and Tejwani, D. Nature Inspired Algorithm towards Influence Maximization in Social Networks. in 2022 1st International Conference on Informatics (ICI). 2022.","DOI":"10.1109\/ICI53355.2022.9786926"},{"key":"10515_CR124","first-page":"259","volume-title":"Advanced Computational and Communication Paradigms","author":"R Sarkar","year":"2018","unstructured":"Sarkar R, Barman D, Chowdhury N (2018) To detect the influencers in a dynamic co-authorship network using heat-diffusion model. Advanced Computational and Communication Paradigms. Springer, pp 259\u2013268"},{"issue":"1","key":"10515_CR125","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s13278-018-0544-8","volume":"9","author":"B Saxena","year":"2019","unstructured":"Saxena B, Kumar P (2019) A node activity and connectivity-based model for influence maximization in social networks. Soc Netw Anal Min 9(1):1\u201316","journal-title":"Soc Netw Anal Min"},{"key":"10515_CR126","doi-asserted-by":"crossref","unstructured":"Segev, N., Avigdor, N., and Avigdor, E., Measuring Influence on Instagram: A Network-Oblivious Approach, in The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval. 2018, Association for Computing Machinery: Ann Arbor, MI, USA. p. 1009\u20131012","DOI":"10.1145\/3209978.3210134"},{"issue":"2","key":"10515_CR127","doi-asserted-by":"crossref","first-page":"160","DOI":"10.3390\/e23020160","volume":"23","author":"C Senevirathna","year":"2021","unstructured":"Senevirathna C, Gunaratne C, Rand W, Jayalath C, Garibay I (2021) Influence cascades: entropy-based characterization of behavioral influence patterns in social media. Entropy 23(2):160","journal-title":"Entropy"},{"key":"10515_CR128","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.ins.2021.01.053","volume":"577","author":"Q Shang","year":"2021","unstructured":"Shang Q, Deng Y, Cheong KH (2021) Identifying influential nodes in complex networks: effective distance gravity model. Inf Sci 577:162\u2013179","journal-title":"Inf Sci"},{"key":"10515_CR129","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1016\/j.physa.2017.05.098","volume":"486","author":"A Sheikhahmadi","year":"2017","unstructured":"Sheikhahmadi A, Nematbakhsh MA, Zareie A (2017) Identification of influential users by neighbors in online social networks. Physica A 486:517\u2013534","journal-title":"Physica A"},{"key":"10515_CR130","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3180177","author":"RD Shetty","year":"2022","unstructured":"Shetty RD, Bhattacharjee S, Dutta A, Namtirtha A (2022) GSI: an influential node detection approach in heterogeneous network using covid-19 as use case. IEEE Trans Comput Soc Syst. https:\/\/doi.org\/10.1109\/TCSS.2022.3180177","journal-title":"IEEE Trans Comput Soc Syst"},{"issue":"1","key":"10515_CR131","doi-asserted-by":"crossref","first-page":"34","DOI":"10.26599\/BDMA.2018.9020004","volume":"1","author":"L Shi","year":"2018","unstructured":"Shi L, Wu Y, Liu L, Sun X, Jiang L (2018) Event detection and identification of influential spreaders in social media data streams. Big Data Mining and Analytics 1(1):34\u201346","journal-title":"Big Data Mining and Analytics"},{"key":"10515_CR132","doi-asserted-by":"crossref","unstructured":"Shinde, M. and Girase, S. Identification of topic-specific Opinion Leader using SPEAR algorithm in Online Knowledge communities. in 2016 International Conference on Computing, Analytics and Security Trends (CAST). 2016. IEEE.","DOI":"10.1109\/CAST.2016.7914956"},{"key":"10515_CR133","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1016\/j.eswa.2018.07.038","volume":"114","author":"A \u015e\u0130M\u015eEK","year":"2018","unstructured":"\u015e\u0130M\u015eEK A, Resul K (2018) Using swarm intelligence algorithms to detect influential individuals for influence maximization in social networks. Exp Syst with Appl 114:224\u2013236","journal-title":"Exp Syst with Appl"},{"key":"10515_CR134","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.neucom.2021.04.084","volume":"453","author":"AK Singh","year":"2021","unstructured":"Singh AK, Kailasam L (2021) Link prediction-based influence maximization in online social networks. Neurocomputing 453:151\u2013163","journal-title":"Neurocomputing"},{"issue":"8","key":"10515_CR135","doi-asserted-by":"crossref","DOI":"10.1136\/bmjopen-2021-057994","volume":"12","author":"JN Ssanyu","year":"2022","unstructured":"Ssanyu JN, Kiguba R, Olum R, Kiguli J, Kitutu FE (2022) Using community influencer groups to address COVID-19 misinformation and vaccine hesitancy in Uganda: a protocol for a prospective quasi-experimental study. BMJ Open 12(8):e057994","journal-title":"BMJ Open"},{"key":"10515_CR136","unstructured":"Statista. Number of Instagram users worldwide from 2020a to 2025. 2023; Available from: https:\/\/www.statista.com\/statistics\/183585\/instagram-number-of-global-users\/."},{"key":"10515_CR137","unstructured":"Statista. Number of TikTok users worldwide from 2020b to 2025. 2023; Available from: https:\/\/www.statista.com\/statistics\/1327116\/number-of-global-tiktok-users\/."},{"key":"10515_CR138","unstructured":"Statista. Number of internet and social media users worldwide as of January 2023. Available from: https:\/\/www.statista.com\/statistics\/617136\/digital-population-worldwide\/."},{"key":"10515_CR139","doi-asserted-by":"crossref","DOI":"10.1016\/j.jretconser.2020.102303","volume":"58","author":"W Tafesse","year":"2021","unstructured":"Tafesse W, Wood BP (2021) Followers\u2019 engagement with instagram influencers: the role of influencers\u2019 content and engagement strategy. J Retail Consum Serv 58:102303","journal-title":"J Retail Consum Serv"},{"key":"10515_CR140","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2019.07.004","volume":"187","author":"J Tang","year":"2020","unstructured":"Tang J, Zhang R, Wang P, Zhao Z, Fan L, Liu X (2020) A discrete shuffled frog-leaping algorithm to identify influential nodes for influence maximization in social networks. Knowl-Based Syst 187:104833","journal-title":"Knowl-Based Syst"},{"key":"10515_CR141","doi-asserted-by":"crossref","unstructured":"Tantisuwankul, J., Manaskasemsak, B., and Rungsawang, A., Identifying Influencers in Thai Internet Forum based on Topic-oriented Gravity Model, in 2020 4th International Conference on Computer Science and Artificial Intelligence. 2020, Association for Computing Machinery: Zhuhai, China. p. 271\u2013277.","DOI":"10.1145\/3445815.3445859"},{"key":"10515_CR142","doi-asserted-by":"crossref","unstructured":"Tsapatsoulis, N., Anastasopoulou, V., and Ntalianis, K. The central community of Twitter ego-networks as a means for fake influencer detection. in 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC\/PiCom\/CBDCom\/CyberSciTech). 2019. IEEE.","DOI":"10.1109\/DASC\/PiCom\/CBDCom\/CyberSciTech.2019.00042"},{"key":"10515_CR143","doi-asserted-by":"crossref","unstructured":"Vassio, L., Garetto, M., Chiasserini, C., and Leonardi, E., Temporal dynamics of posts and user engagement of influencers on Facebook and Instagram, in Proceedings of the 2021 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining. 2022, Association for Computing Machinery: Virtual Event, Netherlands. p. 129\u2013133.","DOI":"10.1145\/3487351.3488340"},{"key":"10515_CR144","volume":"83","author":"DA Vega-Oliveros","year":"2020","unstructured":"Vega-Oliveros DA, da Fontoura Costa L, Rodrigues FA (2020) Influence maximization by rumor spreading on correlated networks through community identification. Commun Nonlinear Sci Numer Simul 83:105094","journal-title":"Commun Nonlinear Sci Numer Simul"},{"issue":"1","key":"10515_CR145","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1007\/s10462-018-9675-6","volume":"53","author":"P Vikatos","year":"2020","unstructured":"Vikatos P, Gryllos P, Makris C (2020) Marketing campaign targeting using bridge extraction in multiplex social network. Artif Intell Rev 53(1):703\u2013724","journal-title":"Artif Intell Rev"},{"issue":"3","key":"10515_CR146","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1049\/cje.2016.05.012","volume":"25","author":"N Wang","year":"2016","unstructured":"Wang N, Sun Q, Zhou Y, Shen S (2016a) A study on influential user identification in online social networks. Chin J Electron 25(3):467\u2013473","journal-title":"Chin J Electron"},{"issue":"8","key":"10515_CR147","doi-asserted-by":"crossref","first-page":"1313","DOI":"10.3390\/math8081313","volume":"8","author":"D Wang","year":"2020","unstructured":"Wang D, Yan J, Chen D, Fang B, Huang X (2020) Rna: A reject neighbors algorithm for influence maximization in complex networks. Mathematics 8(8):1313","journal-title":"Mathematics"},{"key":"10515_CR148","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2021.3087038","author":"S Wang","year":"2022","unstructured":"Wang S, Gan T, Liu Y, Zhang L, Wu J, Nie L (2022) Discover micro-influencers for brands via better understanding. IEEE Trans Multimedia. https:\/\/doi.org\/10.1109\/TMM.2021.3087038","journal-title":"IEEE Trans Multimedia"},{"key":"10515_CR149","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3151029","author":"S Wang","year":"2022","unstructured":"Wang S, Gan T, Liu Y, Wu J, Cheng Y, Nie L (2022) Micro-influencer recommendation by multi-perspective account representation learning. IEEE Trans on Multimedia. https:\/\/doi.org\/10.1109\/TMM.2022.3151029","journal-title":"IEEE Trans on Multimedia"},{"key":"10515_CR150","volume":"593","author":"F Wang","year":"2022","unstructured":"Wang F, Sun Z, Gan Q, Fan A, Shi H, Hu H (2022c) Influential node identification by aggregating local structure information. Physica A 593:126885","journal-title":"Physica A"},{"key":"10515_CR151","unstructured":"Wang, C., Du, Y.J., and Tang, M.W. Opinion leader mining algorithm in microblog platform based on topic similarity. in 2016b 2nd IEEE International Conference on Computer and Communications (ICCC). 2016b. IEEE."},{"key":"10515_CR152","doi-asserted-by":"crossref","first-page":"542","DOI":"10.1016\/j.future.2020.09.011","volume":"115","author":"J Wei","year":"2021","unstructured":"Wei J, Meng F (2021) How opinion distortion appears in super-influencer dominated social network. Futur Gener Comput Syst 115:542\u2013552","journal-title":"Futur Gener Comput Syst"},{"key":"10515_CR153","volume":"195","author":"T Wen","year":"2020","unstructured":"Wen T, Pelusi D, Deng Y (2020) Vital spreaders identification in complex networks with multi-local dimension. Knowl-Based Syst 195:105717","journal-title":"Knowl-Based Syst"},{"key":"10515_CR154","doi-asserted-by":"crossref","unstructured":"Wendy, B. and Faina, D., THE FUTURE OF INFLUENCER MARKETING IN THE DIGITAL AGE OF VIRTUAL INFLUENCERS. Global Fashion Management Conference, 2019: p. 604\u2013607.","DOI":"10.15444\/GFMC2019.06.02.01"},{"key":"10515_CR155","doi-asserted-by":"crossref","unstructured":"Wibisono, A.I. and Ruldeviyani, Y. Detecting Social Media Influencers of Airline Services through Social Network Analysis on Twitter: A Case Study of the Indonesian Airline Industry. in 2021 3rd East Indonesia Conference on Computer and Information Technology (EIConCIT). 2021. IEEE.","DOI":"10.1109\/EIConCIT50028.2021.9431876"},{"key":"10515_CR156","doi-asserted-by":"crossref","first-page":"996","DOI":"10.1016\/j.physa.2019.04.205","volume":"523","author":"J Wu","year":"2019","unstructured":"Wu J, Shen J, Zhou B, Zhang X, Huang B (2019) General link prediction with influential node identification. Physica A 523:996\u20131007","journal-title":"Physica A"},{"issue":"3","key":"10515_CR157","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1080\/16522354.2018.1501146","volume":"15","author":"M Xiao","year":"2018","unstructured":"Xiao M, Wang R, Chan-Olmsted S (2018) Factors affecting YouTube influencer marketing credibility: a heuristic-systematic model. J Media Bus Stud 15(3):188\u2013213","journal-title":"J Media Bus Stud"},{"key":"10515_CR158","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.physa.2018.09.005","volume":"513","author":"S Xu","year":"2019","unstructured":"Xu S, Wang P, Zhang C (2019) Identification of influential spreaders in bipartite networks: a singular value decomposition approach. Physica A 513:297\u2013306","journal-title":"Physica A"},{"key":"10515_CR159","volume":"227","author":"X Yang","year":"2021","unstructured":"Yang X, Xiao F (2021) An improved gravity model to identify influential nodes in complex networks based on k-shell method. Knowl-Based Syst 227:107198","journal-title":"Knowl-Based Syst"},{"issue":"2","key":"10515_CR160","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1007\/s00500-016-2335-3","volume":"22","author":"L Yang","year":"2018","unstructured":"Yang L, Qiao Y, Liu Z, Ma J, Li X (2018) Identifying opinion leader nodes in online social networks with a new closeness evaluation algorithm. Soft Comput 22(2):453\u2013464","journal-title":"Soft Comput"},{"key":"10515_CR161","volume":"198","author":"E-Y Yu","year":"2020","unstructured":"Yu E-Y, Wang Y-P, Fu Y, Chen D-B, Xie M (2020a) Identifying critical nodes in complex networks via graph convolutional networks. Knowl-Based Syst 198:105893","journal-title":"Knowl-Based Syst"},{"key":"10515_CR162","doi-asserted-by":"crossref","first-page":"211281","DOI":"10.1109\/ACCESS.2020.3038791","volume":"8","author":"E Yu","year":"2020","unstructured":"Yu E, Fu Y, Tang Q, Zhao J-Y, Chen D-B (2020b) A re-ranking algorithm for identifying influential nodes in complex networks. IEEE Access 8:211281\u2013211290","journal-title":"IEEE Access"},{"key":"10515_CR163","doi-asserted-by":"crossref","unstructured":"Yusuf, A.M., Saputro, M.R.G., and Maharani, W. Identifying Influencers On Twitter For Covid-19 Education And Vaccination Using Social Network Analysis. In 2021 International Conference on Software Engineering & Computer Systems and 4th International Conference on Computational Science and Information Management (ICSECS-ICOCSIM). 2021.","DOI":"10.1109\/ICSECS52883.2021.00095"},{"key":"10515_CR164","doi-asserted-by":"crossref","unstructured":"Zarei, K., Ibosiola, D., Farahbakhsh, R., Gilani, Z., Garimella, K., Crespi, N., and Tyson, G. Characterising and Detecting Sponsored Influencer Posts on Instagram. in 2020 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). 2020.","DOI":"10.1109\/ASONAM49781.2020.9381309"},{"key":"10515_CR165","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1016\/j.future.2018.11.023","volume":"94","author":"A Zareie","year":"2019","unstructured":"Zareie A, Sheikhahmadi A, Jalili M (2019) Influential node ranking in social networks based on neighborhood diversity. Futur Gener Comput Syst 94:120\u2013129","journal-title":"Futur Gener Comput Syst"},{"key":"10515_CR166","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2019.112971","volume":"142","author":"A Zareie","year":"2020","unstructured":"Zareie A, Sheikhahmadi A, Jalili M (2020) Identification of influential users in social network using gray wolf optimization algorithm. Expert Syst Appl 142:112971","journal-title":"Expert Syst Appl"},{"key":"10515_CR167","doi-asserted-by":"publisher","DOI":"10.3390\/en15186570","author":"B Zatwarnicka-Madura","year":"2022","unstructured":"Zatwarnicka-Madura B, Nowacki R, Wojciechowska I (2022) Influencer marketing as a tool in modern communication&mdash;possibilities of use in green energy promotion amongst poland&rsquo;s generation Z. Energies. https:\/\/doi.org\/10.3390\/en15186570","journal-title":"Energies"},{"key":"10515_CR168","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.datak.2019.05.001","volume":"121","author":"B Zhang","year":"2019","unstructured":"Zhang B, Zhang L, Mu C, Zhao Q, Song Q, Hong X (2019b) A most influential node group discovery method for influence maximization in social networks: a trust-based perspective. Data Knowl Eng 121:71\u201387","journal-title":"Data Knowl Eng"},{"key":"10515_CR169","doi-asserted-by":"crossref","first-page":"31539","DOI":"10.1109\/ACCESS.2020.2972997","volume":"8","author":"B Zhang","year":"2020","unstructured":"Zhang B, Bai Y, Zhang Q, Lian J, Li M (2020) An opinion-leader mining method in social networks with a phased-clustering perspective. IEEE Access 8:31539\u201331550","journal-title":"IEEE Access"},{"issue":"1","key":"10515_CR170","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.dcan.2020.04.011","volume":"7","author":"Z Zhang","year":"2021","unstructured":"Zhang Z, Li X, Gan C (2021) Identifying influential nodes in social networks via community structure and influence distribution difference. Digital Commun and Net 7(1):131\u2013139","journal-title":"Digital Commun and Net"},{"key":"10515_CR171","doi-asserted-by":"crossref","unstructured":"Zhang, Z., Zhao, W., Yang, J., Paris, C., and Nepal, S. Learning influence probabilities and modelling influence diffusion in twitter. in Companion Proceedings of The 2019a World Wide Web Conference. 2019a.","DOI":"10.1145\/3308560.3316701"},{"key":"10515_CR172","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1016\/j.ins.2017.10.031","volume":"426","author":"Y Zhao","year":"2018","unstructured":"Zhao Y, Kou G, Peng Y, Chen Y (2018) Understanding influence power of opinion leaders in e-commerce networks: an opinion dynamics theory perspective. Inf Sci 426:131\u2013147","journal-title":"Inf Sci"},{"key":"10515_CR173","doi-asserted-by":"crossref","first-page":"175917","DOI":"10.1109\/ACCESS.2019.2953243","volume":"7","author":"Q Zhao","year":"2019","unstructured":"Zhao Q, Yang J, Wang S, Li M, Zhang W (2019) High-value user identification based on topic weight. IEEE Access 7:175917\u2013175928","journal-title":"IEEE Access"},{"key":"10515_CR174","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.neucom.2020.07.028","volume":"414","author":"G Zhao","year":"2020","unstructured":"Zhao G, Jia P, Zhou A, Zhang B (2020) InfGCN: Identifying influential nodes in complex networks with graph convolutional networks. Neurocomputing 414:18\u201326","journal-title":"Neurocomputing"},{"key":"10515_CR175","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3145044","author":"Z Zhao","year":"2022","unstructured":"Zhao Z, Shi L, Li T, Shao J, Cheng Y (2022) Opinion dynamics of social networks with Intermittent-Influence Leaders. IEEE Trans on Comput Soc Syst. https:\/\/doi.org\/10.1109\/TCSS.2022.3145044","journal-title":"IEEE Trans on Comput Soc Syst"},{"key":"10515_CR176","doi-asserted-by":"crossref","unstructured":"Zheng, C., Zhang, Q., Young, S., and Wang, W. On-demand Influencer Discovery on Social Media. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management. 2020.","DOI":"10.1145\/3340531.3412134"},{"issue":"12","key":"10515_CR177","doi-asserted-by":"crossref","first-page":"254","DOI":"10.3390\/fi11120254","volume":"11","author":"Z Zhou","year":"2019","unstructured":"Zhou Z, Tian B (2019) Research on community detection of online social network members based on the sparse subspace clustering approach. Future Internet 11(12):254","journal-title":"Future Internet"},{"key":"10515_CR178","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.cnsns.2019.01.032","volume":"74","author":"F Zhou","year":"2019","unstructured":"Zhou F, L\u00fc L, Mariani MS (2019) Fast influencers in complex networks. Commun Nonlinear Sci Numer Simul 74:69\u201383","journal-title":"Commun Nonlinear Sci Numer Simul"},{"key":"10515_CR179","doi-asserted-by":"crossref","first-page":"23405","DOI":"10.1109\/ACCESS.2017.2758353","volume":"5","author":"J Zhu","year":"2017","unstructured":"Zhu J, Liu Y, Yin X (2017) A new structure-hole-based algorithm for influence maximization in large online social networks. IEEE Access 5:23405\u201323412","journal-title":"IEEE Access"},{"issue":"4","key":"10515_CR180","volume":"7","author":"Y-B Zhuang","year":"2021","unstructured":"Zhuang Y-B, Li Z-H, Zhuang Y-J (2021) Identification of influencers in online social networks: measuring influence considering multidimensional factors exploration. Heliyon 7(4):e06472","journal-title":"Heliyon"},{"issue":"2","key":"10515_CR181","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1007\/s11390-020-0135-9","volume":"36","author":"RJ Ziarani","year":"2021","unstructured":"Ziarani RJ, Ravanmehr R (2021) Serendipity in recommender systems: a systematic literature review. J Comput Sci Technol 36(2):375\u2013396","journal-title":"J Comput Sci Technol"}],"container-title":["Artificial Intelligence Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-023-10515-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10462-023-10515-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10462-023-10515-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,16]],"date-time":"2023-12-16T04:21:38Z","timestamp":1702700498000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10462-023-10515-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,30]]},"references-count":181,"journal-issue":{"issue":"S1","published-print":{"date-parts":[[2023,10]]}},"alternative-id":["10515"],"URL":"https:\/\/doi.org\/10.1007\/s10462-023-10515-2","relation":{},"ISSN":["0269-2821","1573-7462"],"issn-type":[{"value":"0269-2821","type":"print"},{"value":"1573-7462","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,6,30]]},"assertion":[{"value":"30 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}