{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T15:34:02Z","timestamp":1772120042434,"version":"3.50.1"},"reference-count":49,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T00:00:00Z","timestamp":1715299200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T00:00:00Z","timestamp":1715299200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100002858","name":"the China Postdoctoral Science Foundation","doi-asserted-by":"crossref","award":["2023M731368"],"award-info":[{"award-number":["2023M731368"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002858","name":"the China Postdoctoral Science Foundation","doi-asserted-by":"crossref","award":["2023M731368"],"award-info":[{"award-number":["2023M731368"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002858","name":"the China Postdoctoral Science Foundation","doi-asserted-by":"crossref","award":["2023M731368"],"award-info":[{"award-number":["2023M731368"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002858","name":"the China Postdoctoral Science Foundation","doi-asserted-by":"crossref","award":["2023M731368"],"award-info":[{"award-number":["2023M731368"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002858","name":"the China Postdoctoral Science Foundation","doi-asserted-by":"crossref","award":["2023M731368"],"award-info":[{"award-number":["2023M731368"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002858","name":"the China Postdoctoral Science Foundation","doi-asserted-by":"crossref","award":["2023M731368"],"award-info":[{"award-number":["2023M731368"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002858","name":"the China Postdoctoral Science Foundation","doi-asserted-by":"crossref","award":["2023M731368"],"award-info":[{"award-number":["2023M731368"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100002858","name":"the China Postdoctoral Science Foundation","doi-asserted-by":"crossref","award":["2023M731368"],"award-info":[{"award-number":["2023M731368"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"crossref"}]},{"name":"the Natural Science Foundation of the Jiangsu Higher Education Institutions","award":["22KJB520016"],"award-info":[{"award-number":["22KJB520016"]}]},{"name":"the Natural Science Foundation of the Jiangsu Higher Education Institutions","award":["22KJB520016"],"award-info":[{"award-number":["22KJB520016"]}]},{"name":"the Natural Science Foundation of the Jiangsu Higher Education Institutions","award":["22KJB520016"],"award-info":[{"award-number":["22KJB520016"]}]},{"name":"the Natural Science Foundation of the Jiangsu Higher Education Institutions","award":["22KJB520016"],"award-info":[{"award-number":["22KJB520016"]}]},{"name":"the Natural Science Foundation of the Jiangsu Higher Education Institutions","award":["22KJB520016"],"award-info":[{"award-number":["22KJB520016"]}]},{"name":"the Natural Science Foundation of the Jiangsu Higher Education Institutions","award":["22KJB520016"],"award-info":[{"award-number":["22KJB520016"]}]},{"name":"the Natural Science Foundation of the Jiangsu Higher Education Institutions","award":["22KJB520016"],"award-info":[{"award-number":["22KJB520016"]}]},{"name":"the Natural Science Foundation of the Jiangsu Higher Education Institutions","award":["22KJB520016"],"award-info":[{"award-number":["22KJB520016"]}]},{"name":"Jiangsu University Innovative Research Project","award":["KYCX22_3671"],"award-info":[{"award-number":["KYCX22_3671"]}]},{"name":"Jiangsu University Innovative Research Project","award":["KYCX22_3671"],"award-info":[{"award-number":["KYCX22_3671"]}]},{"name":"Jiangsu University Innovative Research Project","award":["KYCX22_3671"],"award-info":[{"award-number":["KYCX22_3671"]}]},{"name":"Jiangsu University Innovative Research Project","award":["KYCX22_3671"],"award-info":[{"award-number":["KYCX22_3671"]}]},{"name":"Jiangsu University Innovative Research Project","award":["KYCX22_3671"],"award-info":[{"award-number":["KYCX22_3671"]}]},{"name":"Jiangsu University Innovative Research Project","award":["KYCX22_3671"],"award-info":[{"award-number":["KYCX22_3671"]}]},{"name":"Jiangsu University Innovative Research Project","award":["KYCX22_3671"],"award-info":[{"award-number":["KYCX22_3671"]}]},{"name":"Jiangsu University Innovative Research Project","award":["KYCX22_3671"],"award-info":[{"award-number":["KYCX22_3671"]}]},{"name":"Jiangsu University Innovative Research Project","award":["KYCX22_3671"],"award-info":[{"award-number":["KYCX22_3671"]}]},{"name":"MOE (Ministry of Education in China) Youth Foundation Project of Humanities and Social Sciences","award":["22YJC870007"],"award-info":[{"award-number":["22YJC870007"]}]},{"name":"MOE (Ministry of Education in China) Youth Foundation Project of Humanities and Social Sciences","award":["22YJC870007"],"award-info":[{"award-number":["22YJC870007"]}]},{"name":"MOE (Ministry of Education in China) Youth Foundation Project of Humanities and Social Sciences","award":["22YJC870007"],"award-info":[{"award-number":["22YJC870007"]}]},{"name":"MOE (Ministry of Education in China) Youth Foundation Project of Humanities and Social Sciences","award":["22YJC870007"],"award-info":[{"award-number":["22YJC870007"]}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62302199"],"award-info":[{"award-number":["62302199"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62302199"],"award-info":[{"award-number":["62302199"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Peer-to-Peer Netw. Appl."],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1007\/s12083-024-01689-9","type":"journal-article","created":{"date-parts":[[2024,5,10]],"date-time":"2024-05-10T05:02:19Z","timestamp":1715317339000},"page":"2334-2353","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["H-Louvain: Hierarchical Louvain-based community detection in social media data streams"],"prefix":"10.1007","volume":"17","author":[{"given":"Zi-xuan","family":"Han","sequence":"first","affiliation":[]},{"given":"Lei-lei","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Lu","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Liang","family":"Jiang","sequence":"additional","affiliation":[]},{"given":"Wan","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Xiao","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Jing-yu","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Ayodeji O.","family":"Ayorinde","sequence":"additional","affiliation":[]},{"given":"Nick","family":"Antonopoulos","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,5,10]]},"reference":[{"issue":"1","key":"1689_CR1","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1145\/3505681","volume":"29","author":"SJI Klassen","year":"2022","unstructured":"Klassen SJI (2022) Black Twitter is gold: why this online community is worthy of study and how to do so respectfully. Interactions 29(1):96\u201398","journal-title":"Interactions"},{"issue":"5","key":"1689_CR2","first-page":"1","volume":"12","author":"C Hu","year":"2021","unstructured":"Hu C, Yin M, Liu B (2021) Identifying Illicit Drug Dealers on Instagram with Large-scale Multimodal Data Fusion. ACM Trans\u00a0Intell\u00a0Syst\u00a0Technol 12(5):1\u201323","journal-title":"ACM Trans\u00a0Intell\u00a0Syst\u00a0Technol"},{"issue":"1","key":"1689_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s13278-021-00852-x","volume":"12","author":"TT Aurpa","year":"2022","unstructured":"Aurpa TT, Sadik R, Ahmed MS (2022) Abusive Bangla comments detection on Facebook using transformer-based deep learning models. Soc Netw Anal Min 12(1):1\u201314","journal-title":"Soc Netw Anal Min"},{"issue":"2","key":"1689_CR4","first-page":"308","volume":"8","author":"M Li","year":"2021","unstructured":"Li M, Lu S, Zhang L, Zhang Y, Zhang B (2021) A community detection method for social network based on community embedding. IEEE Trans\u00a0Comput\u00a0Soc 8(2):308\u2013318","journal-title":"IEEE Trans\u00a0Comput\u00a0Soc"},{"issue":"4","key":"1689_CR5","first-page":"799","volume":"8","author":"S Mittal","year":"2021","unstructured":"Mittal S, Sengupta D, Chakraborty T (2021) Hide and seek: outwitting community detection algorithms,\". IEEE Trans\u00a0Comput.\u00a0Soc 8(4):799\u2013808","journal-title":"IEEE Trans\u00a0Comput.\u00a0Soc"},{"key":"1689_CR6","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1016\/j.neucom.2021.05.058","volume":"456","author":"X Wang","year":"2021","unstructured":"Wang X, Li J, Yang L, Mi HJN (2021) Unsupervised learning for community detection in attributed networks based on graph convolutional network. Neurocomputing 456:147\u2013155","journal-title":"Neurocomputing"},{"issue":"6","key":"1689_CR7","doi-asserted-by":"publisher","first-page":"9226","DOI":"10.1109\/JIOT.2019.2893625","volume":"6","author":"L Jiang","year":"2019","unstructured":"Jiang L, Shi L, Liu L, Yao J, Yuan B, Zheng Y (2019) An efficient evolutionary user interest community discovery model in dynamic social networks for internet of people. IEEE Internet Things J 6(6):9226\u20139236","journal-title":"IEEE Internet Things J"},{"issue":"1","key":"1689_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13677-020-00199-2","volume":"9","author":"L Jiang","year":"2020","unstructured":"Jiang L, Liu L, Yao J, Shi L (2020) A hybrid recommendation model in social media based on deep emotion analysis and multi-source view fusion. J Cloud Comput. 9(1):1\u201316","journal-title":"J Cloud Comput."},{"issue":"1","key":"1689_CR9","first-page":"63","volume":"50","author":"S Souravlas","year":"2021","unstructured":"Souravlas S, Sifaleras A, Tsintogianni M, Katsavounis S (2021) A classification of community detection methods in social networks: a survey. Int\u00a0J\u00a0General Syst 50(1):63\u201391","journal-title":"Int\u00a0J\u00a0General Syst"},{"key":"1689_CR10","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.neucom.2019.01.009","volume":"334","author":"X Zhou","year":"2019","unstructured":"Zhou X, Yang K, Xie Y (2019) A novel modularity-based discrete state transition algorithm for community detection in networks. Neurocomputing 334:89\u201399","journal-title":"Neurocomputing"},{"key":"1689_CR11","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1109\/TSIPN.2021.3052047","volume":"7","author":"A Karaaslanl\u0131","year":"2021","unstructured":"Karaaslanl\u0131 A, Aviyente S (2021) Community detection in dynamic networks: Equivalence between stochastic blockmodels and evolutionary spectral clustering. IEEE Trans Signal Inf\u00a0Process over Networks 7:130\u2013143","journal-title":"IEEE Trans Signal Inf\u00a0Process over Networks"},{"key":"1689_CR12","doi-asserted-by":"publisher","first-page":"3528","DOI":"10.1109\/TIP.2021.3062689","volume":"30","author":"G Li","year":"2021","unstructured":"Li G, Liu Z, Chen M (2021) Hierarchical alternate interaction network for RGB-D salient object detection. IEEE Trans Image Process 30:3528\u20133542","journal-title":"IEEE Trans Image Process"},{"key":"1689_CR13","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1007\/978-3-319-93040-4_18","volume-title":"Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, 3\u20136 June 2018, Proceedings, Part III 22","author":"W Wang","year":"2018","unstructured":"Wang W, Liu X, Jiao P, Chen X, Jin D (2018) A unified weakly supervised framework for community detection and semantic matching. In: Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, 3\u20136 June 2018, Proceedings, Part III 22. Springer International Publishing, pp 218\u2013230"},{"issue":"5","key":"1689_CR14","doi-asserted-by":"publisher","first-page":"4038","DOI":"10.11591\/telkomnika.v12i5.4170","volume":"12","author":"H Liu","year":"2014","unstructured":"Liu H, Chen H, Lin M, Wu Y (2014) Community detection based on topic distance in social tagging networks. TELKOMNIKA Indones J Electrical Eng 12(5):4038\u20134049","journal-title":"TELKOMNIKA Indones J Electrical Eng"},{"key":"1689_CR15","first-page":"450","volume-title":"Proceedings of the 2011 SIAM International Conference on Data Mining","author":"R Balasubramanyan","year":"2011","unstructured":"Balasubramanyan R, Cohen WW (2011) Block-LDA: jointly modeling entity-annotated text and entity-entity links. In: Proceedings of the 2011 SIAM International Conference on Data Mining. Society for Industrial and Applied Mathematics, pp 450\u2013461"},{"key":"1689_CR16","unstructured":"Yang L, Wang X, Zhang J, Yang J, Xu Y, Hou J, ..., Wang FY (2022) Hackgan: harmonious cross-network mapping using cyclegan with wasserstein\u2013procrustes learning for unsupervised network alignment. IEEE Trans Comput\u00a0Soc Syst 10(2):746\u2013759"},{"key":"1689_CR17","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1007\/978-3-319-24465-5_16","volume-title":"Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA 2015, Saint Etienne. France, 22\u201324 October 2015. Proceedings 14","author":"D Combe","year":"2015","unstructured":"Combe D, Largeron C, G\u00e9ry M, Egyed-Zsigmond E (2015) I-louvain: an attributed graph clustering method. In: Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA 2015, Saint Etienne. France, 22\u201324 October 2015. Proceedings 14. Springer International Publishing, pp 181\u2013192"},{"key":"1689_CR18","first-page":"100286","volume":"37","author":"PJCSR Chunaev","year":"2020","unstructured":"Chunaev PJCSR (2020) Community detection in node-attributed social networks: a survey. Comput\u00a0Sci\u00a0Rev 37:100286","journal-title":"Comput\u00a0Sci\u00a0Rev"},{"issue":"1","key":"1689_CR19","doi-asserted-by":"publisher","first-page":"217","DOI":"10.26599\/BDMA.2023.9020021","volume":"7","author":"ZX Han","year":"2023","unstructured":"Han ZX, Shi LL et al (2023) A survey on event tracking in social media data streams. Big Data Min Anal 7(1):217\u2013243","journal-title":"Big Data Min Anal"},{"issue":"5","key":"1689_CR20","doi-asserted-by":"publisher","first-page":"1042","DOI":"10.1109\/TCSS.2019.2913783","volume":"6","author":"L-L Shi","year":"2019","unstructured":"Shi L-L et al (2019) Human-centric cyber social computing model for hot-event detection and propagation. IEEE Trans Comput Soc Syst 6(5):1042\u20131050","journal-title":"IEEE Trans Comput Soc Syst"},{"issue":"1","key":"1689_CR21","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1109\/TCSS.2019.2938954","volume":"7","author":"LL Shi","year":"2019","unstructured":"Shi LL, Liu L, Wu Y, Jiang L, Panneerselvam J, Crole R (2019) A social sensing model for event detection and user influence discovering in social media data streams. IEEE Trans Comput Soc Syst 7(1):141\u2013150","journal-title":"IEEE Trans Comput Soc Syst"},{"issue":"5","key":"1689_CR22","first-page":"05","volume":"70","author":"ME Newman","year":"2004","unstructured":"Newman ME (2004) Analysis of weighted networks. Phys\u00a0Rev\u00a0E 70(5):05\u2013613","journal-title":"Phys\u00a0Rev\u00a0E"},{"issue":"4","key":"1689_CR23","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.88.042822","volume":"88","author":"MEJPRE Newman","year":"2013","unstructured":"Newman MEJPRE (2013) Spectral methods for community detection and graph partitioning. Phys Rev E 88(4):042822","journal-title":"Phys Rev E"},{"key":"1689_CR24","doi-asserted-by":"publisher","first-page":"P10008","DOI":"10.1088\/1742-5468\/2008\/10\/P10008","volume":"10","author":"VD Blondel","year":"2008","unstructured":"Blondel VD, Guillaume JL, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech: Theory Exp 10:P10008","journal-title":"J Stat Mech: Theory Exp"},{"issue":"2","key":"1689_CR25","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1109\/TCSS.2020.2964197","volume":"7","author":"M Seifikar","year":"2020","unstructured":"Seifikar M, Farzi S, Barati M (2020) C-blondel: an efficient louvain-based dynamic community detection algorithm. IEEE Trans Comput Soc Syst 7(2):308\u2013318","journal-title":"IEEE Trans Comput Soc Syst"},{"key":"1689_CR26","first-page":"1","volume":"2021","author":"J Zhang","year":"2021","unstructured":"Zhang J, Fei J, Song X, Feng J (2021) An improved Louvain algorithm for community detection. Math Probl Eng 2021:1\u201314","journal-title":"Math Probl Eng"},{"key":"1689_CR27","unstructured":"Venturini S, Cristofari A, Rinaldi F, Tudisco F (2021)\u00a0Louvain-like methods for community detection in multi-layer networks. arXiv preprint https:\/\/arxiv.org\/abs\/2106.13543"},{"issue":"1","key":"1689_CR28","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1007\/s00180-019-00909-8","volume":"35","author":"F Tang","year":"2020","unstructured":"Tang F, Wang C, Su J, Wang YJCS (2020) Spectral clustering-based community detection using graph distance and node attributes. Comput Statistics 35(1):69\u201394","journal-title":"Comput Statistics"},{"key":"1689_CR29","doi-asserted-by":"crossref","unstructured":"Nie F, Wang X, Huang X (2014) Clustering and projected clustering with adaptive neighbors. In: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp 977\u2013986","DOI":"10.1145\/2623330.2623726"},{"key":"1689_CR30","doi-asserted-by":"crossref","unstructured":"Parimala M, Lopez D (2015) Graph clustering based on structural attribute neighborhood similarity (SANS). In: 2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT). IEEE, pp 1\u20134","DOI":"10.1109\/ICECCT.2015.7226087"},{"key":"1689_CR31","doi-asserted-by":"crossref","unstructured":"Akachar E, Ouhbi B, Frikh B (2019)\u00a0A new algorithm for detecting communities in social networks based on content and structure information. Int J Web Inform Syst 16(1):79\u201393, pp 342\u2013356","DOI":"10.1108\/IJWIS-06-2019-0030"},{"key":"1689_CR32","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1016\/j.knosys.2018.07.037","volume":"161","author":"M Qin","year":"2018","unstructured":"Qin M, Jin D, He D, Gabrys B, Musial K (2018) Adaptive community detection incorporating topology and content in social networks\u2730. Knowl-Based Syst 161:342\u2013356","journal-title":"Knowl-Based Syst"},{"issue":"1","key":"1689_CR33","doi-asserted-by":"publisher","first-page":"95","DOI":"10.3390\/e21010095","volume":"21","author":"S Luo","year":"2019","unstructured":"Luo S, Zhang Z, Zhang Y, Ma SJE (2019) Co-association matrix-based multi-layer fusion for community detection in attributed networks. Entropy 21(1):95","journal-title":"Entropy"},{"issue":"1","key":"1689_CR34","doi-asserted-by":"publisher","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 Min Anal 1(1):34\u201346","journal-title":"Big Data Min Anal"},{"issue":"1\u20137","key":"1689_CR35","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/S0169-7552(98)00087-7","volume":"30","author":"S Chakrabarti","year":"1998","unstructured":"Chakrabarti S et al (1998) Automatic resource compilation by analyzing hyperlink structure and associated text. Computer networks and ISDN systems 30(1\u20137):65\u201374","journal-title":"Computer networks and ISDN systems"},{"issue":"1","key":"1689_CR36","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.78.016115","volume":"78","author":"Y Hu","year":"2008","unstructured":"Hu Y, Li M, Zhang P, Fan Y, Di ZJPRE (2008) Community detection by signaling on complex networks. Phys Rev E 78(1):016115","journal-title":"Phys Rev E"},{"key":"1689_CR37","doi-asserted-by":"publisher","first-page":"1169","DOI":"10.1007\/s11276-018-01913-4","volume":"28","author":"L Jiang","year":"2022","unstructured":"Jiang L, Shi L, Liu L, Yao J, Ali ME (2022) User interest community detection on social media using collaborative filtering. Wirel Netw 28:1169\u20131175","journal-title":"Wirel Netw"},{"key":"1689_CR38","doi-asserted-by":"publisher","first-page":"1188","DOI":"10.1007\/s10489-021-02287-5","volume":"52","author":"C Li","year":"2022","unstructured":"Li C, Chen H, Li T (2022) A stable community detection approach for complex network based on density peak clustering and label propagation. Appl Intell 52:1188\u20131208","journal-title":"Appl Intell"},{"key":"1689_CR39","doi-asserted-by":"publisher","first-page":"7759","DOI":"10.1016\/j.eswa.2015.06.008","volume":"42","author":"SH Hajiagha","year":"2015","unstructured":"Hajiagha SH, Hashemi SS, Mahdiraji HA (2015) Multi-period data envelopment analysis based on Chebyshev inequality bounds. Expert Syst\u00a0Appl 42:7759\u20137767","journal-title":"Expert Syst\u00a0Appl"},{"key":"1689_CR40","doi-asserted-by":"crossref","unstructured":"Amidan BG, Ferryman TA, Cooley SK (2005)\u00a0Data outlier detection using the Chebyshev theorem. In: 2005 IEEE Aerospace Conference, vol. 1, pp 3814\u20133819","DOI":"10.1109\/AERO.2005.1559688"},{"issue":"Jan","key":"1689_CR41","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei DM, Ng AY, Jordan MI (2003) Latent dirichlet allocation. J Mach Learn Res 3(Jan):993\u20131022","journal-title":"J Mach Learn Res"},{"key":"1689_CR42","doi-asserted-by":"crossref","unstructured":"Akbas E, Zhao P (2017) Attributed graph clustering: an attribute-aware graph embedding approach. In: Proceedings of the 2017 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, pp 305\u2013308","DOI":"10.1145\/3110025.3110092"},{"key":"1689_CR43","doi-asserted-by":"crossref","unstructured":"Akbas E, Zhao P (2019) Graph clustering based on attribute-aware graph embedding. In: From security to community detection in social networking platforms, pp 109\u2013131","DOI":"10.1007\/978-3-030-11286-8_5"},{"issue":"3","key":"1689_CR44","first-page":"408","volume":"3","author":"C Bothorel","year":"2015","unstructured":"Bothorel C, Cruz JD, Magnani M, Micenkova BJNS (2015) Clustering attributed graphs: models, measures and methods. Phys Rev E 3(3):408\u2013444","journal-title":"Phys Rev E"},{"issue":"2","key":"1689_CR45","doi-asserted-by":"publisher","first-page":"260","DOI":"10.3390\/s19020260","volume":"19","author":"B Huang","year":"2019","unstructured":"Huang B, Wang C, Wang BJS (2019) Nmlpa: Uncovering overlapping communities in attributed networks via a multi-label propagation approach. Sensors 19(2):260","journal-title":"Sensors"},{"key":"1689_CR46","doi-asserted-by":"crossref","unstructured":"Zhang J, Luo Y (2017) Degree centrality, betweenness centrality, and closeness centrality in social network. In: 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017), vol 35. Atlantis Press, pp 300\u2013303","DOI":"10.2991\/msam-17.2017.68"},{"key":"1689_CR47","unstructured":"Network Science Institute at UCLA, \"American College Football dataset,\" [Online]. Available: https:\/\/networkdata.ics.uci.edu\/data\/football\/football.htm. [Accessed: 5 Apr 2023]"},{"issue":"1","key":"1689_CR48","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1504\/IJSNM.2012.045103","volume":"1","author":"G Cordasco","year":"2012","unstructured":"Cordasco G, Gargano L (2012) Label propagation algorithm: a semi-synchronous approach. Int J Soc Netw Min 1(1):3\u201326","journal-title":"Int J Soc Netw Min"},{"key":"1689_CR49","first-page":"1","volume":"21","author":"J Ge","year":"2021","unstructured":"Ge J, Shi L-L, Liu L, Shi H, Panneerselvam J (2021) Intelligent link prediction management based on community discovery and user behavior preference in online social networks. Wirel Commun Mob Comput 21:1\u201313","journal-title":"Wirel Commun Mob Comput"}],"container-title":["Peer-to-Peer Networking and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12083-024-01689-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12083-024-01689-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12083-024-01689-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T04:31:00Z","timestamp":1718685060000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12083-024-01689-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,10]]},"references-count":49,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,7]]}},"alternative-id":["1689"],"URL":"https:\/\/doi.org\/10.1007\/s12083-024-01689-9","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-3133727\/v1","asserted-by":"object"}]},"ISSN":["1936-6442","1936-6450"],"issn-type":[{"value":"1936-6442","type":"print"},{"value":"1936-6450","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,10]]},"assertion":[{"value":"3 July 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 March 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 May 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Written informed consent for publication of this paper was obtained from the Jiangsu University of Computer Science and Telecommunication Engineering and all authors.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"Written informed consent was obtained from all authors for publication of this study and any accompanying images. All authors of this article gave their consent for contribution. Copies of this written consent are available for inspection by the Editor-in-Chief of the Journal.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to publish"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}