{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T13:43:28Z","timestamp":1792849408964,"version":"4.5.0"},"reference-count":109,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2022,11,12]],"date-time":"2022-11-12T00:00:00Z","timestamp":1668211200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,11,12]],"date-time":"2022-11-12T00:00:00Z","timestamp":1668211200000},"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":["Computing"],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1007\/s00607-022-01131-z","type":"journal-article","created":{"date-parts":[[2022,11,12]],"date-time":"2022-11-12T21:02:52Z","timestamp":1668286972000},"page":"417-453","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Community detection algorithms for recommendation systems: techniques and metrics"],"prefix":"10.1007","volume":"105","author":[{"given":"Chaitali","family":"Choudhary","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Inder","family":"Singh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5113-0639","authenticated-orcid":false,"given":"Manoj","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,11,12]]},"reference":[{"issue":"9","key":"1131_CR1","doi-asserted-by":"publisher","first-page":"1910","DOI":"10.1109\/TMM.2016.2575738","volume":"18","author":"X Lei","year":"2016","unstructured":"Lei X, Qian X (2016) Rating prediction based on social sentiment from textual reviews. IEEE Trans Multimed 18(9):1910\u20131921. https:\/\/doi.org\/10.1109\/TMM.2016.2575738","journal-title":"IEEE Trans Multimed"},{"key":"1131_CR2","doi-asserted-by":"publisher","unstructured":"Yang J, Leskovec J (2013) Overlapping community detection at scale: a nonnegative matrix factorization approach. In: WSDM 2013\u2014proceedings of 6th ACM international conference on web search data min, pp 587\u2013596. https:\/\/doi.org\/10.1145\/2433396.2433471","DOI":"10.1145\/2433396.2433471"},{"key":"1131_CR3","doi-asserted-by":"publisher","first-page":"785","DOI":"10.1016\/j.future.2018.06.010","volume":"88","author":"J S\u00e1nchez-Oro","year":"2018","unstructured":"S\u00e1nchez-Oro J, Duarte A (2018) Iterated Greedy algorithm for performing community detection in social networks. Futur Gener Comput Syst 88:785\u2013791. https:\/\/doi.org\/10.1016\/j.future.2018.06.010","journal-title":"Futur Gener Comput Syst"},{"key":"1131_CR4","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-4555-4","author":"M Planti\u00e9","year":"2012","unstructured":"Planti\u00e9 M, Crampes M (2012) Social media retrieval. Comput Commun Netw. https:\/\/doi.org\/10.1007\/978-1-4471-4555-4","journal-title":"Comput Commun Netw"},{"key":"1131_CR5","doi-asserted-by":"publisher","DOI":"10.1038\/srep30750","author":"Z Yang","year":"2016","unstructured":"Yang Z, Algesheimer R, Tessone CJ (2016) A comparative analysis of community detection algorithms on artificial networks. Sci Rep. https:\/\/doi.org\/10.1038\/srep30750","journal-title":"Sci Rep"},{"issue":"3\u20135","key":"1131_CR6","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.physrep.2009.11.002","volume":"486","author":"S Fortunato","year":"2010","unstructured":"Fortunato S (2010) Community detection in graphs. Phys Rep 486(3\u20135):75\u2013174. https:\/\/doi.org\/10.1016\/j.physrep.2009.11.002","journal-title":"Phys Rep"},{"issue":"4","key":"1131_CR7","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1080\/15427951.2004.10129093","volume":"1","author":"GW Flake","year":"2004","unstructured":"Flake GW, Tarjan RE, Tsioutsiouliklis K (2004) Graph clustering and minimum cut trees. Internet Math 1(4):385\u2013408. https:\/\/doi.org\/10.1080\/15427951.2004.10129093","journal-title":"Internet Math"},{"key":"1131_CR8","doi-asserted-by":"crossref","unstructured":"Gregory S (2009) Finding overlapping communities using disjoint community detection algorithms. In: Complex networks. Springer, pp 47\u201361","DOI":"10.1007\/978-3-642-01206-8_5"},{"issue":"5","key":"1131_CR9","doi-asserted-by":"publisher","first-page":"2153","DOI":"10.1214\/17-AOS1615","volume":"46","author":"C Gao","year":"2018","unstructured":"Gao C, Ma Z, Zhang AY, Zhou HH (2018) Community detection in degree-corrected block models. Ann Stat 46(5):2153\u20132185. https:\/\/doi.org\/10.1214\/17-AOS1615","journal-title":"Ann Stat"},{"issue":"3","key":"1131_CR10","doi-asserted-by":"publisher","first-page":"562","DOI":"10.1111\/coin.12007","volume":"30","author":"C Shi","year":"2014","unstructured":"Shi C, Yu PS, Yan Z, Huang Y, Wang B (2014) Comparison and selection of objective functions in multiobjective community detection. Comput Intell 30(3):562\u2013582. https:\/\/doi.org\/10.1111\/coin.12007","journal-title":"Comput Intell"},{"issue":"9","key":"1131_CR11","doi-asserted-by":"publisher","first-page":"1074","DOI":"10.1109\/43.159993","volume":"11","author":"L Hagen","year":"1992","unstructured":"Hagen L, Kahng AB (1992) New spectral methods for ratio cut partitioning and clustering. IEEE Trans Comput Des Integr Circuits Syst 11(9):1074\u20131085. https:\/\/doi.org\/10.1109\/43.159993","journal-title":"IEEE Trans Comput Des Integr Circuits Syst"},{"key":"1131_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/s41109-017-0023-6","author":"MT Schaub","year":"2017","unstructured":"Schaub MT, Delvenne JC, Rosvall M, Lambiotte R (2017) The many facets of community detection in complex networks. Appl Netw Sci. https:\/\/doi.org\/10.1007\/s41109-017-0023-6","journal-title":"Appl Netw Sci"},{"key":"1131_CR13","unstructured":"Pothen A, Simon HD, Liou KP (1989) Partitioning alex sparse pothen matrices with eigenvectors of graphs, p 27"},{"key":"1131_CR14","doi-asserted-by":"crossref","unstructured":"Pons Pacal LM (2005) Computing communities in large networks using random walks. Download.Springer.Com, pp 284\u2013293","DOI":"10.1007\/11569596_31"},{"issue":"6","key":"1131_CR15","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1103\/PhysRevE.69.066133","volume":"69","author":"MEJ Newman","year":"2004","unstructured":"Newman MEJ (2004) Fast algorithm for detecting community structure in networks. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Top 69(6):5. https:\/\/doi.org\/10.1103\/PhysRevE.69.066133","journal-title":"Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Top"},{"issue":"4","key":"1131_CR16","doi-asserted-by":"publisher","first-page":"395","DOI":"10.1007\/s11222-007-9033-z","volume":"17","author":"U Von Luxburg","year":"2007","unstructured":"Von Luxburg U (2007) A tutorial on spectral clustering. Stat Comput 17(4):395\u2013416. https:\/\/doi.org\/10.1007\/s11222-007-9033-z","journal-title":"Stat Comput"},{"issue":"23","key":"1131_CR17","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1073\/pnas.0601602103","volume":"69","author":"MEJJ Newman","year":"2004","unstructured":"Newman MEJJ, Girvan M, Newman MEJJ (2004) Fast algorithm for detecting community structure in networks. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Top. 69(23):5. https:\/\/doi.org\/10.1073\/pnas.0601602103","journal-title":"Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Top."},{"key":"1131_CR18","doi-asserted-by":"publisher","unstructured":"Cheng Z, Ding Y, Zhu L, Kankanhalli M (2018) Aspect-aware latent factor model: rating prediction with ratings and reviews, pp 639\u2013648. https:\/\/doi.org\/10.1145\/3178876.3186145","DOI":"10.1145\/3178876.3186145"},{"issue":"1145\/1631162","key":"1131_CR19","first-page":"1631164","volume":"10","author":"S Asur","year":"2009","unstructured":"Asur S, Parthasarathy S, Ucar D (2009) An event-based framework for characterizing the evolutionary behavior of interaction graphs. ACM Trans Knowl Discov Data 10(1145\/1631162):1631164","journal-title":"ACM Trans Knowl Discov Data"},{"key":"1131_CR20","doi-asserted-by":"publisher","unstructured":"Backstrom L, Huttenlocher D, Kleinberg J, Lan X (2006) Group formation in large social networks: membership, growth, and evolution. In: Proceedings of the 12th ACM SIGKDD international conference on knowledge discovery and data mining, pp 44\u201354. https:\/\/doi.org\/10.1145\/1150402.1150412","DOI":"10.1145\/1150402.1150412"},{"issue":"1145\/1921632","key":"1131_CR21","first-page":"1921636","volume":"10","author":"DM Dunlavy","year":"2011","unstructured":"Dunlavy DM, Kolda TG, Acar E (2011) Temporal link prediction using matrix and tensor factorizations. ACM Trans Knowl Discov Data. doi 10(1145\/1921632):1921636","journal-title":"ACM Trans Knowl Discov Data. doi"},{"key":"1131_CR22","doi-asserted-by":"publisher","unstructured":"Fu W, Song L, Xing EP (2009) Dynamic mixed membership blockmodel for evolving networks. In: Proceedings of the 26th annual international conference on machine learning, pp 329\u2013336. https:\/\/doi.org\/10.1145\/1553374.1553416","DOI":"10.1145\/1553374.1553416"},{"issue":"4","key":"1131_CR23","doi-asserted-by":"publisher","first-page":"552","DOI":"10.1109\/JSTSP.2014.2310294","volume":"8","author":"KS Xu","year":"2014","unstructured":"Xu KS, Hero AO (2014) Dynamic stochastic blockmodels for time-evolving social networks. IEEE J Sel Top Signal Process 8(4):552\u2013562. https:\/\/doi.org\/10.1109\/JSTSP.2014.2310294","journal-title":"IEEE J Sel Top Signal Process"},{"issue":"4","key":"1131_CR24","doi-asserted-by":"publisher","first-page":"42812","DOI":"10.1103\/PhysRevE.88.042812","volume":"88","author":"S Mankad","year":"2013","unstructured":"Mankad S, Michailidis G (2013) Structural and functional discovery in dynamic networks with non-negative matrix factorization. Phys Rev E 88(4):42812. https:\/\/doi.org\/10.1103\/PhysRevE.88.042812","journal-title":"Phys Rev E"},{"key":"1131_CR25","unstructured":"Kelley S (2009) Overlapping communities in large-scale, vol 2009"},{"key":"1131_CR26","doi-asserted-by":"publisher","first-page":"463","DOI":"10.1007\/978-1-4614-0754-6","volume":"57","author":"MM-I Stephen Kelley","year":"2012","unstructured":"Stephen Kelley MM-I, Goldberg M, Konstantin MAW (2012) Defining and discovering communities in social networks. Optim Appl 57:463\u2013505. https:\/\/doi.org\/10.1007\/978-1-4614-0754-6","journal-title":"Optim Appl"},{"key":"1131_CR27","doi-asserted-by":"publisher","unstructured":"Chakraborty T, Chakraborty A (2013) OverCite: finding overlapping communities in citation network. In: Proceedings of the 2013 IEEE\/ACM international conference on advances in social networks analysis and mining, pp 1124\u20131131. https:\/\/doi.org\/10.1145\/2492517.2500255","DOI":"10.1145\/2492517.2500255"},{"key":"1131_CR28","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3137396","author":"X Su","year":"2022","unstructured":"Su X et al (2022) A comprehensive survey on community detection with deep learning. IEEE Trans Neural Netw Learn Syst. https:\/\/doi.org\/10.1109\/TNNLS.2021.3137396","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"1131_CR29","doi-asserted-by":"publisher","DOI":"10.1109\/tkde.2021.3104155","author":"D Jin","year":"2021","unstructured":"Jin D et al (2021) A survey of community detection approaches: from statistical modeling to deep learning. IEEE Trans Knowl Data Eng. https:\/\/doi.org\/10.1109\/tkde.2021.3104155","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1131_CR30","first-page":"1","volume-title":"A survey of community detection methods in multilayer networks","author":"X Huang","year":"2021","unstructured":"Huang X, Chen D, Ren T, Wang D (2021) A survey of community detection methods in multilayer networks, vol 35. Springer, p 1"},{"key":"1131_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115956","volume":"187","author":"D Naik","year":"2022","unstructured":"Naik D, Ramesh D, Gandomi AH, Babu Gorojanam N (2022) Parallel and distributed paradigms for community detection in social networks: a methodological review. Expert Syst Appl 187:115956. https:\/\/doi.org\/10.1016\/j.eswa.2021.115956","journal-title":"Expert Syst Appl"},{"key":"1131_CR32","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2021.126012","volume":"401","author":"S Li","year":"2021","unstructured":"Li S, Jiang L, Wu X, Han W, Zhao D, Wang Z (2021) A weighted network community detection algorithm based on deep learning. Appl Math Comput 401:126012. https:\/\/doi.org\/10.1016\/j.amc.2021.126012","journal-title":"Appl Math Comput"},{"issue":"2","key":"1131_CR33","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/0378-8733(83)90021-7","volume":"5","author":"PW Holland","year":"1983","unstructured":"Holland PW, Laskey KB, Leinhardt S (1983) Stochastic blockmodels: first steps. Social Netw 5(2):109\u201337. https:\/\/doi.org\/10.1016\/0378-8733(83)90021-7","journal-title":"Social Netw"},{"key":"1131_CR34","unstructured":"Nepal S, Paris C, Bista SK (2012) Srec: a social behaviour based recommender for online communities. In: Herder E, Yacef K, Chen L, Weibelzahl S (eds) Workshop and poster proceedings of 20th conference on user modeling, adaptation, and personalization, Montreal, Canada, July 16\u201320, 2012, volume 872 of CEUR workshop proceedings. CEUR-WS.org"},{"issue":"2","key":"1131_CR35","doi-asserted-by":"publisher","first-page":"6:1","DOI":"10.1145\/2774974","volume":"15","author":"S Nepal","year":"2015","unstructured":"Nepal S, Paris C, Pour PA, Freyne J, Bista SK (2015) Interaction based recommendations for online communities. ACM Trans Internet Technol 15(2):6:1-6:21","journal-title":"ACM Trans Internet Technol"},{"key":"1131_CR36","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1007\/978-1-4614-6170-8_383","volume-title":"Encyclopedia of social network analysis and mining","author":"R Cazabet","year":"2014","unstructured":"Cazabet R, Amblard F (2014) Dynamic community detection. In: Alhajj R, Rokne J (eds) Encyclopedia of social network analysis and mining. Springer, New York, pp 404\u2013414"},{"key":"1131_CR37","unstructured":"Narayanan A, Chandramohan M, Venkatesan R, Chen L, Liu Y, Jaiswal S (2017) graph2vec: learning distributed representations of graph. CoRR, abs\/1707.0. arXiv:1707.05005"},{"key":"1131_CR38","doi-asserted-by":"publisher","unstructured":"Devooght R, Bersini H (2017) Long and short-term recommendations with recurrent neural networks. In: Proceedings of the 25th conference on user modeling, adaptation and personalization, association for computing machinery, pp 13\u201321. https:\/\/doi.org\/10.1145\/3079628.3079670","DOI":"10.1145\/3079628.3079670"},{"issue":"3\u20135","key":"1131_CR39","doi-asserted-by":"publisher","first-page":"351","DOI":"10.1007\/s11257-017-9194-1","volume":"27","author":"D Jannach","year":"2017","unstructured":"Jannach D, Ludewig M, Lerche L (2017) Session-based item recommendation in e-commerce: on short-term intents, reminders, trends and discounts. User Model User Adapt Interact 27(3\u20135):351\u2013392. https:\/\/doi.org\/10.1007\/s11257-017-9194-1","journal-title":"User Model User Adapt Interact"},{"issue":"2","key":"1131_CR40","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1007\/s41060-019-00181-5","volume":"9","author":"B Edizel","year":"2020","unstructured":"Edizel B, Bonchi F, Hajian S, Panisson A, Tassa T (2020) FaiRecSys: mitigating algorithmic bias in recommender systems. Int J Data Sci Anal 9(2):197\u2013213. https:\/\/doi.org\/10.1007\/s41060-019-00181-5","journal-title":"Int J Data Sci Anal"},{"issue":"2","key":"1131_CR41","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1016\/S0031-3203(03)00237-1","volume":"37","author":"S Wu","year":"2004","unstructured":"Wu S, Chow TWS (2004) Clustering of the self-organizing map using a clustering validity index based on inter-cluster and intra-cluster density. Pattern Recognit. 37(2):175\u2013188. https:\/\/doi.org\/10.1016\/S0031-3203(03)00237-1","journal-title":"Pattern Recognit."},{"issue":"1","key":"1131_CR42","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1103\/RevModPhys.74.47","volume":"74","author":"R Albert","year":"2002","unstructured":"Albert R, Barab\u00e1si AL (2002) Statistical mechanics of complex networks. Rev Mod Phys 74(1):47\u201397. https:\/\/doi.org\/10.1103\/RevModPhys.74.47","journal-title":"Rev Mod Phys"},{"issue":"4","key":"1131_CR43","doi-asserted-by":"publisher","first-page":"1021","DOI":"10.1109\/TCSS.2018.2879494","volume":"5","author":"K Berahmand","year":"2018","unstructured":"Berahmand K, Bouyer A, Vasighi M (2018) Community detection in complex networks by detecting and expanding core nodes through extended local similarity of nodes. IEEE Trans Comput Soc Syst 5(4):1021\u20131033. https:\/\/doi.org\/10.1109\/TCSS.2018.2879494","journal-title":"IEEE Trans Comput Soc Syst"},{"issue":"7043","key":"1131_CR44","doi-asserted-by":"publisher","first-page":"814","DOI":"10.1038\/nature03607","volume":"435","author":"G Palla","year":"2005","unstructured":"Palla G, Der\u00e9nyi I, Farkas I, Vicsek T (2005) Uncovering the overlapping community structure of complex networks in nature and society. Nature 435(7043):814\u2013818. https:\/\/doi.org\/10.1038\/nature03607","journal-title":"Nature"},{"key":"1131_CR45","doi-asserted-by":"publisher","unstructured":"Ali SS, Bentayeb F, Missaoui R, Boussaid O (2014) An efficient method for community detection. https:\/\/doi.org\/10.1007\/978-3-319-08326-1","DOI":"10.1007\/978-3-319-08326-1"},{"key":"1131_CR46","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0011976","author":"A Lancichinetti","year":"2010","unstructured":"Lancichinetti A, Saram\u00e4ki J, Kivel\u00e4 M, Fortunato S (2010) Characterizing the community structure of complex networks. PLoS One. https:\/\/doi.org\/10.1371\/journal.pone.0011976","journal-title":"PLoS One"},{"key":"1131_CR47","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1109\/cvpr.2003.1211462","volume":"2","author":"ALN Fred","year":"2003","unstructured":"Fred ALN, Jain AK (2003) Robust data clustering. Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit 2:5. https:\/\/doi.org\/10.1109\/cvpr.2003.1211462","journal-title":"Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit"},{"issue":"9","key":"1131_CR48","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1088\/1742-5468\/2005\/09\/P09008","volume":"09008","author":"L Danon","year":"2005","unstructured":"Danon L, D\u00edaz-Guilera A, Duch J, Arenas A (2005) Comparing community structure identification. J Stat Mech Theory Exp 09008(9):219\u2013228. https:\/\/doi.org\/10.1088\/1742-5468\/2005\/09\/P09008","journal-title":"J Stat Mech Theory Exp"},{"issue":"July","key":"1131_CR49","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1016\/j.engappai.2019.08.003","volume":"85","author":"V Moscato","year":"2019","unstructured":"Moscato V, Picariello A, Sperl\u00ed G (2019) Community detection based on game theory. Eng Appl Artif Intell 85(July):773\u2013782. https:\/\/doi.org\/10.1016\/j.engappai.2019.08.003","journal-title":"Eng Appl Artif Intell"},{"key":"1131_CR50","doi-asserted-by":"crossref","unstructured":"De Cruz-lovera C, De L (2019) Analysis of research topics and scientific collaborations in energy saving using bibliometric techniques and community detection","DOI":"10.3390\/en12102030"},{"key":"1131_CR51","doi-asserted-by":"publisher","first-page":"96016","DOI":"10.1109\/ACCESS.2020.2996001","volume":"8","author":"L Wu","year":"2020","unstructured":"Wu L, Zhang Q, Chen CH, Guo K, Wang D (2020) Deep learning techniques for community detection in social networks. IEEE Access 8:96016\u201396026. https:\/\/doi.org\/10.1109\/ACCESS.2020.2996001","journal-title":"IEEE Access"},{"key":"1131_CR52","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.procs.2016.09.133","volume":"100","author":"F Rodrigues","year":"2016","unstructured":"Rodrigues F, Ferreira B (2016) Product recommendation based on shared customer\u2019s behaviour. Proc Comput Sci 100:136\u2013146. https:\/\/doi.org\/10.1016\/j.procs.2016.09.133","journal-title":"Proc Comput Sci"},{"issue":"4","key":"1131_CR53","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1103\/PhysRevE.78.046110","volume":"78","author":"A Lancichinetti","year":"2008","unstructured":"Lancichinetti A, Fortunato S, Radicchi F (2008) Benchmark graphs for testing community detection algorithms. Phys Rev E Stat Nonlinear Soft Matter Phys 78(4):1\u20135. https:\/\/doi.org\/10.1103\/PhysRevE.78.046110","journal-title":"Phys Rev E Stat Nonlinear Soft Matter Phys"},{"key":"1131_CR54","unstructured":"Getting Started with Community Detection in Graphs and Networks. https:\/\/www.analyticsvidhya.com\/blog\/2020\/04\/community-detection-graphs-networks\/"},{"key":"1131_CR55","doi-asserted-by":"crossref","unstructured":"Hastie T, Tibshirani R, Friedman J (2009) Model assessment and selection","DOI":"10.1007\/978-0-387-84858-7_7"},{"key":"1131_CR56","volume-title":"Finding groups in data: an introduction to cluster analysis","author":"L Kaufman","year":"2009","unstructured":"Kaufman L, Rousseeuw PJ (2009) Finding groups in data: an introduction to cluster analysis, vol 344. Wiley"},{"issue":"1","key":"1131_CR57","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/S0167-9473(96)00026-6","volume":"23","author":"PJ Rousseeuw","year":"1996","unstructured":"Rousseeuw PJ, Kaufman L, Trauwaert E (1996) Fuzzy clustering using scatter matrices. Comput Stat Data Anal 23(1):135\u2013151. https:\/\/doi.org\/10.1016\/S0167-9473(96)00026-6","journal-title":"Comput Stat Data Anal"},{"key":"1131_CR58","doi-asserted-by":"publisher","unstructured":"Maity S, Rath SK (2014) Extended Clique percolation method to detect overlapping community structure. In: Proceedings of 2014 International conference advanced computer communication and informatics, ICACCI 2014, pp 31\u201337. https:\/\/doi.org\/10.1109\/ICACCI.2014.6968420","DOI":"10.1109\/ICACCI.2014.6968420"},{"issue":"1","key":"1131_CR59","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.jnca.2013.08.008","volume":"40","author":"M Arab","year":"2014","unstructured":"Arab M, Afsharchi M (2014) Community detection in social networks using hybrid merging of sub-communities. J Netw Comput Appl 40(1):73\u201384. https:\/\/doi.org\/10.1016\/j.jnca.2013.08.008","journal-title":"J Netw Comput Appl"},{"key":"1131_CR60","unstructured":"Prasad C (2015) A survey on community detection algorithms in large scale real world networks. In: 2nd International conference on computing for sustainable global development (INDIACom). IEEE, pp 1323\u20131327"},{"key":"1131_CR61","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1016\/j.ins.2017.09.019","volume":"422","author":"H Li","year":"2018","unstructured":"Li H, Deng K, Cui J, Dong Z, Ma J, Huang J (2018) Hidden community identification in location-based social network via probabilistic venue sequences. Inf Sci (Ny) 422:188\u2013203. https:\/\/doi.org\/10.1016\/j.ins.2017.09.019","journal-title":"Inf Sci (Ny)"},{"key":"1131_CR62","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1145\/2812428.2812453","volume":"1008","author":"D Dolgikh","year":"2015","unstructured":"Dolgikh D, Jel\u00ednek I (2015) Graph-based music recommendation approach using social network analysis and community detection method. ACM Int Conf Proc Ser 1008:221\u2013227. https:\/\/doi.org\/10.1145\/2812428.2812453","journal-title":"ACM Int Conf Proc Ser"},{"key":"1131_CR63","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1016\/j.ins.2015.07.046","volume":"326","author":"LN Ferreira","year":"2016","unstructured":"Ferreira LN, Zhao L (2016) Time series clustering via community detection in networks. Inf Sci (Ny) 326:227\u2013242. https:\/\/doi.org\/10.1016\/j.ins.2015.07.046","journal-title":"Inf Sci (Ny)"},{"issue":"2","key":"1131_CR64","doi-asserted-by":"publisher","first-page":"529","DOI":"10.1109\/TMI.2015.2480864","volume":"35","author":"B Yoldemir","year":"2016","unstructured":"Yoldemir B, Ng B, Abugharbieh R (2016) Stable overlapping replicator dynamics for brain community detection. IEEE Trans Med Imaging 35(2):529\u2013538. https:\/\/doi.org\/10.1109\/TMI.2015.2480864","journal-title":"IEEE Trans Med Imaging"},{"key":"1131_CR65","unstructured":"Ghorbani M, Rabiee HR, Khodadadi A (2016) Bayesian overlapping community detection in dynamic networks, vol 3, no 2, pp 1\u201310. arXiv:1605.02288"},{"issue":"20","key":"1131_CR66","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1142\/S0217979216501307","volume":"30","author":"X Liu","year":"2016","unstructured":"Liu X, Wei YM, Wang J, Wang WJ, He DX, Song ZJ (2016) Community detection enhancement using non-negative matrix factorization with graph regularization. Int J Mod Phys B 30(20):1\u201318. https:\/\/doi.org\/10.1142\/S0217979216501307","journal-title":"Int J Mod Phys B"},{"key":"1131_CR67","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/8986360","author":"HH Nguyen","year":"2017","unstructured":"Nguyen HH (2017) Clustering categorical data using community detection techniques. Comput Intell Neurosci. https:\/\/doi.org\/10.1155\/2017\/8986360","journal-title":"Comput Intell Neurosci"},{"key":"1131_CR68","doi-asserted-by":"crossref","unstructured":"Zhang QZYLW (2020) A real-time recommender system design based on spark streaming","DOI":"10.1007\/978-981-15-8083-3_38"},{"key":"1131_CR69","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1016\/j.knosys.2017.02.018","volume":"123","author":"M Hajiabadi","year":"2017","unstructured":"Hajiabadi M, Zare H, Bobarshad H (2017) IEDC: an integrated approach for overlapping and non-overlapping community detection. Knowl Based Syst 123:188\u2013199. https:\/\/doi.org\/10.1016\/j.knosys.2017.02.018","journal-title":"Knowl Based Syst"},{"issue":"July","key":"1131_CR70","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1016\/j.aei.2018.07.001","volume":"38","author":"M Guerrero","year":"2018","unstructured":"Guerrero M, Montoya FG, Ba\u00f1os R, Alcayde A, Gil C (2018) Community detection in national-scale high voltage transmission networks using genetic algorithms. Adv Eng Inform 38(July):232\u2013241. https:\/\/doi.org\/10.1016\/j.aei.2018.07.001","journal-title":"Adv Eng Inform"},{"key":"1131_CR71","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1016\/j.ins.2018.06.015","volume":"462","author":"G Bello-Orgaz","year":"2018","unstructured":"Bello-Orgaz G, Salcedo-Sanz S, Camacho D (2018) A multi-objective genetic algorithm for overlapping community detection based on edge encoding. Inf Sci (Ny) 462:290\u2013314. https:\/\/doi.org\/10.1016\/j.ins.2018.06.015","journal-title":"Inf Sci (Ny)"},{"issue":"2","key":"1131_CR72","doi-asserted-by":"publisher","DOI":"10.1016\/j.jjimei.2021.100030","volume":"1","author":"D Malhotra","year":"2021","unstructured":"Malhotra D, Chug A (2021) A modified label propagation algorithm for community detection in attributed networks. Int J Inf Manag Data Insights 1(2):100030. https:\/\/doi.org\/10.1016\/j.jjimei.2021.100030","journal-title":"Int J Inf Manag Data Insights"},{"issue":"16","key":"1131_CR73","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/app11167179","volume":"11","author":"S Souravlas","year":"2021","unstructured":"Souravlas S, Anastasiadou S, Katsavounis S (2021) A survey on the recent advances of deep community detection. Appl Sci 11(16):1\u201320. https:\/\/doi.org\/10.3390\/app11167179","journal-title":"Appl Sci"},{"key":"1131_CR74","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1016\/j.neucom.2018.10.090","volume":"391","author":"MR Chen","year":"2020","unstructured":"Chen MR, Chen BP, Zeng GQ, Di L, Chu P (2020) An adaptive fractional-order BP neural network based on extremal optimization for handwritten digits recognition. Neurocomputing 391:260\u2013272. https:\/\/doi.org\/10.1016\/j.neucom.2018.10.090","journal-title":"Neurocomputing"},{"key":"1131_CR75","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1007\/978-1-4615-1043-7","volume":"21","author":"S Boettcher","year":"2003","unstructured":"Boettcher S, Per\u00e7us AG (2003) Extremal optimization: an evolutionary local-search algorithm. Oper Res Comput Sci Interfaces Ser 21:61\u201377. https:\/\/doi.org\/10.1007\/978-1-4615-1043-7","journal-title":"Oper Res Comput Sci Interfaces Ser"},{"issue":"2","key":"1131_CR76","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1103\/PhysRevE.72.027104","volume":"72","author":"J Duch","year":"2005","unstructured":"Duch J, Arenas A (2005) Community detection in complex networks using extremal optimization. Phys Rev E Stat Nonlinear Soft Matter Phys 72(2):1\u20134. https:\/\/doi.org\/10.1103\/PhysRevE.72.027104","journal-title":"Phys Rev E Stat Nonlinear Soft Matter Phys"},{"issue":"1","key":"1131_CR77","doi-asserted-by":"publisher","first-page":"355","DOI":"10.24507\/ijicic.17.01.355","volume":"17","author":"J Ding","year":"2021","unstructured":"Ding J, Azizbek S, Sun Y, Tan P, Wang F (2021) Detecting overlapping communities in networks with extremal optimization. Int J Innov Comput Inf Control 17(1):355\u2013368. https:\/\/doi.org\/10.24507\/ijicic.17.01.355","journal-title":"Int J Innov Comput Inf Control"},{"issue":"23","key":"1131_CR78","doi-asserted-by":"publisher","first-page":"8577","DOI":"10.1073\/pnas.0601602103","volume":"103","author":"MEJ Newman","year":"2006","unstructured":"Newman MEJ (2006) Modularity and community structure in networks. Proc Natl Acad Sci 103(23):8577\u20138582. https:\/\/doi.org\/10.1073\/pnas.0601602103","journal-title":"Proc Natl Acad Sci"},{"issue":"6","key":"1131_CR79","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1103\/PhysRevE.69.066133","volume":"69","author":"MEJ Newman","year":"2004","unstructured":"Newman MEJ (2004) Fast algorithm for detecting community structure in networks. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 69(6):5. https:\/\/doi.org\/10.1103\/PhysRevE.69.066133","journal-title":"Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics"},{"issue":"6","key":"1131_CR80","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1103\/PhysRevE.70.066111","volume":"70","author":"A Clauset","year":"2004","unstructured":"Clauset A, Newman MEJ, Moore C (2004) Finding community structure in very large networks. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Top 70(6):6. https:\/\/doi.org\/10.1103\/PhysRevE.70.066111","journal-title":"Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Top"},{"key":"1131_CR81","doi-asserted-by":"publisher","unstructured":"Wakita K, Toshiyuki T (2007) Finding community structure in mega-scale social networks: [Extended Abstract]. 16th International world wide web conference, WWW2007, pp 1275\u201376. https:\/\/doi.org\/10.1145\/1242572.1242805","DOI":"10.1145\/1242572.1242805"},{"key":"1131_CR82","unstructured":"Tasgin M, Bingol H (2007) Community detection in complex networks using genetic algorithms. ArXiv Preprint ArXiv:0711.0491"},{"issue":"4","key":"1131_CR83","first-page":"452","volume":"33","author":"WW Zachary","year":"2009","unstructured":"Zachary WW (2009) Flow model for conflict an information fission in small groups. Small 33(4):452\u201373","journal-title":"Small"},{"issue":"2","key":"1131_CR84","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1140\/epjb\/e2004-00124-y","volume":"38","author":"MEJ Newman","year":"2004","unstructured":"Newman MEJ (2004) Detecting community structure in networks. Eur Phys J B 38(2):321\u2013330","journal-title":"Eur Phys J B"},{"key":"1131_CR85","doi-asserted-by":"crossref","unstructured":"Liu X et al (2007) Effective algorithm for detecting community structure in complex networks based on GA and clustering. In: Yong S et al (eds) Computational science\u2014ICCS. Springer, Berlin, pp 657\u201364","DOI":"10.1007\/978-3-540-72586-2_95"},{"key":"1131_CR86","doi-asserted-by":"crossref","unstructured":"Manuscript A (2008) Nihms35572, 433(7028), pp 895\u2013900","DOI":"10.1007\/978-0-387-84843-3_42"},{"issue":"7","key":"1131_CR87","doi-asserted-by":"publisher","first-page":"503","DOI":"10.12720\/jcm.10.7.503-511","volume":"10","author":"F Hu","year":"2015","unstructured":"Hu F, Liu Y (2015) A novel algorithm infomap-SA of detecting communities in complex networks. J Commun 10(7):503\u2013511. https:\/\/doi.org\/10.12720\/jcm.10.7.503-511","journal-title":"J Commun"},{"issue":"15","key":"1131_CR88","doi-asserted-by":"publisher","first-page":"4361","DOI":"10.1007\/s00500-016-2067-4","volume":"21","author":"JS Sartakhti","year":"2017","unstructured":"Sartakhti JS, Afrabandpey H, Saraee M (2017) Simulated annealing least squares twin support vector machine (SA-LSTSVM) for pattern classification. Soft Comput 21(15):4361\u20134373. https:\/\/doi.org\/10.1007\/s00500-016-2067-4","journal-title":"Soft Comput"},{"issue":"27","key":"1131_CR89","first-page":"2380","volume":"5","author":"J He","year":"2016","unstructured":"He J, Chen D, Sun C (2016) A fast simulated annealing strategy for community detection in complex networks. IEEE Int Conf Comput Commun 5(27):2380\u20132384","journal-title":"IEEE Int Conf Comput Commun"},{"key":"1131_CR90","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.eswa.2016.03.033","volume":"58","author":"Y Xin","year":"2016","unstructured":"Xin Y, Xie Z-Q, Yang J (2016) An adaptive random walk sampling method on dynamic community detection. Expert Syst Appl 58:10\u201319. https:\/\/doi.org\/10.1016\/j.eswa.2016.03.033","journal-title":"Expert Syst Appl"},{"key":"1131_CR91","unstructured":"The Random Walk algorithm. https:\/\/neo4j.com\/docs\/graph-algorithms\/current\/labs-algorithms\/random-walk\/"},{"issue":"1","key":"1131_CR92","doi-asserted-by":"publisher","first-page":"76","DOI":"10.5815\/ijitcs.2014.01.09","volume":"6","author":"N Azizifard","year":"2014","unstructured":"Azizifard N (2014) Social network clustering. Int J Inf Technol Comput Sci 6(1):76\u201381. https:\/\/doi.org\/10.5815\/ijitcs.2014.01.09","journal-title":"Int J Inf Technol Comput Sci"},{"issue":"SUPPL. 1","key":"1131_CR93","doi-asserted-by":"publisher","first-page":"5249","DOI":"10.1073\/pnas.0307750100","volume":"101","author":"J Hopcroft","year":"2004","unstructured":"Hopcroft J, Khan O, Kulis B, Selman B (2004) Tracking evolving communities in large linked networks. Proc Natl Acad Sci U S A 101(SUPPL. 1):5249\u20135253. https:\/\/doi.org\/10.1073\/pnas.0307750100","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"7136","key":"1131_CR94","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1038\/nature05670","volume":"446","author":"G Palla","year":"2007","unstructured":"Palla G, Barab\u00e1si AL, Vicsek T (2007) Quantifying social group evolution. Nature 446(7136):664\u2013667. https:\/\/doi.org\/10.1038\/nature05670","journal-title":"Nature"},{"key":"1131_CR95","unstructured":"Wang Y, Wu B, Du N (2008) Community evolution of social network: feature, algorithm and model, 60402011 [Online]. Available: arXiv:0804.4356"},{"key":"1131_CR96","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0008694","author":"M Rosvall","year":"2010","unstructured":"Rosvall M, Bergstrom CT (2010) Mapping change in large networks. PLoS One. https:\/\/doi.org\/10.1371\/journal.pone.0008694","journal-title":"PLoS One"},{"issue":"2","key":"1131_CR97","doi-asserted-by":"publisher","first-page":"224","DOI":"10.1007\/s10618-010-0186-6","volume":"21","author":"W Chen","year":"2010","unstructured":"Chen W, Liu Z, Sun X, Wang Y (2010) A game-theoretic framework to identify overlapping communities in social networks. Data Min Knowl Discov 21(2):224\u2013240. https:\/\/doi.org\/10.1007\/s10618-010-0186-6","journal-title":"Data Min Knowl Discov"},{"key":"1131_CR98","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.knosys.2018.05.026","volume":"157","author":"Z Wang","year":"2018","unstructured":"Wang Z, Li Z, Yuan G, Sun Y, Rui X, Xiang X (2018) Tracking the evolution of overlapping communities in dynamic social networks. Knowl Based Syst 157:81\u201397. https:\/\/doi.org\/10.1016\/j.knosys.2018.05.026","journal-title":"Knowl Based Syst"},{"key":"1131_CR99","doi-asserted-by":"crossref","unstructured":"Dhouioui Z (2014) Tracking dynamic community evolution in social.pdf, no. Asonam, pp 764\u2013770","DOI":"10.1109\/ASONAM.2014.6921672"},{"issue":"22","key":"1131_CR100","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1103\/PhysRevE.69.026113","volume":"69","author":"MEJ Newman","year":"2004","unstructured":"Newman MEJ, Girvan M (2004) Finding and evaluating community structure in networks. Phys Rev E Stat Nonlinear Soft Matter Phys 69(22):1\u201316. https:\/\/doi.org\/10.1103\/PhysRevE.69.026113","journal-title":"Phys Rev E Stat Nonlinear Soft Matter Phys"},{"issue":"36","key":"1131_CR101","doi-asserted-by":"publisher","first-page":"14534","DOI":"10.1073\/pnas.1221839110","volume":"110","author":"PK Gopalan","year":"2013","unstructured":"Gopalan PK, Blei DM (2013) Efficient discovery of overlapping communities in massive networks. Proc Natl Acad Sci U S A 110(36):14534\u201314539. https:\/\/doi.org\/10.1073\/pnas.1221839110","journal-title":"Proc Natl Acad Sci U S A"},{"issue":"1","key":"1131_CR102","doi-asserted-by":"publisher","first-page":"693","DOI":"10.14778\/1920841.1920930","volume":"3","author":"K Macropol","year":"2010","unstructured":"Macropol K, Singh A (2010) Scalable discovery of best clusters on large graphs. Proc VLDB Endow 3(1):693\u2013702. https:\/\/doi.org\/10.14778\/1920841.1920930","journal-title":"Proc VLDB Endow"},{"issue":"3","key":"1131_CR103","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1103\/PhysRevE.76.036106","volume":"76","author":"UN Raghavan","year":"2007","unstructured":"Raghavan UN, Albert R, Kumara S (2007) Near linear time algorithm to detect community structures in large-scale networks. Phys Rev E Stat Nonlinear Soft Matter Phys 76(3):1\u201312. https:\/\/doi.org\/10.1103\/PhysRevE.76.036106","journal-title":"Phys Rev E Stat Nonlinear Soft Matter Phys"},{"issue":"1","key":"1131_CR104","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1103\/PhysRevE.80.016105","volume":"80","author":"TS Evans","year":"2009","unstructured":"Evans TS, Lambiotte R (2009) Line graphs, link partitions, and overlapping communities. Phys Rev E Stat Nonlinear Soft Matter Phys 80(1):1\u20139. https:\/\/doi.org\/10.1103\/PhysRevE.80.016105","journal-title":"Phys Rev E Stat Nonlinear Soft Matter Phys"},{"key":"1131_CR105","doi-asserted-by":"publisher","first-page":"2009","DOI":"10.1088\/1742-5468\/2009\/03\/P03024","volume":"3","author":"V Nicosia","year":"2009","unstructured":"Nicosia V, Mangioni G, Carchiolo V, Malgeri M (2009) Extending the definition of modularity to directed graphs with overlapping communities. J Stat Mech Theory Exp 3:2009. https:\/\/doi.org\/10.1088\/1742-5468\/2009\/03\/P03024","journal-title":"J Stat Mech Theory Exp"},{"key":"1131_CR106","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1016\/j.physa.2014.10.009","volume":"419","author":"PG Sun","year":"2015","unstructured":"Sun PG (2015) Community detection by fuzzy clustering. Phys A Stat Mech Appl 419:408\u2013416. https:\/\/doi.org\/10.1016\/j.physa.2014.10.009","journal-title":"Phys A Stat Mech Appl"},{"key":"1131_CR107","unstructured":"Porter MA, Onnela J-P, Mucha PJ (2009) Communities in networks, pp 0\u201326 [Online]. Available: arXiv:0902.3788"},{"issue":"2","key":"1131_CR108","doi-asserted-by":"publisher","first-page":"478","DOI":"10.1109\/TETC.2017.2751101","volume":"8","author":"W Luo","year":"2020","unstructured":"Luo W, Yan Z, Bu C, Zhang D (2020) Community detection by fuzzy relations. IEEE Trans Emerg Top Comput 8(2):478\u2013492. https:\/\/doi.org\/10.1109\/TETC.2017.2751101","journal-title":"IEEE Trans Emerg Top Comput"},{"issue":"3","key":"1131_CR109","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1103\/PhysRevE.96.032310","volume":"96","author":"MA Riolo","year":"2017","unstructured":"Riolo MA, Cantwell GT, Reinert G, Newman MEJ (2017) Efficient method for estimating the number of communities in a network. Phys Rev E 96(3):1\u201313. https:\/\/doi.org\/10.1103\/PhysRevE.96.032310","journal-title":"Phys Rev E"}],"container-title":["Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-022-01131-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00607-022-01131-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-022-01131-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T16:17:49Z","timestamp":1675181869000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00607-022-01131-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,12]]},"references-count":109,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2023,2]]}},"alternative-id":["1131"],"URL":"https:\/\/doi.org\/10.1007\/s00607-022-01131-z","relation":{},"ISSN":["0010-485X","1436-5057"],"issn-type":[{"value":"0010-485X","type":"print"},{"value":"1436-5057","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,12]]},"assertion":[{"value":"6 April 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 October 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 November 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}