{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T17:31:04Z","timestamp":1770226264610,"version":"3.49.0"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T00:00:00Z","timestamp":1664323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T00:00:00Z","timestamp":1664323200000},"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":[[2023,1]]},"DOI":"10.1007\/s00607-022-01121-1","type":"journal-article","created":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T12:02:47Z","timestamp":1664366567000},"page":"151-185","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A subgraphs-density based overlapping community detection algorithm for large-scale complex networks"],"prefix":"10.1007","volume":"105","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7350-4897","authenticated-orcid":false,"given":"Seyed Mojtaba","family":"Saif","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7109-2980","authenticated-orcid":false,"given":"Mohammad Ebrahim","family":"Samie","sequence":"additional","affiliation":[]},{"given":"Ali","family":"Hamzeh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,28]]},"reference":[{"key":"1121_CR1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0244241","author":"P Perlasca","year":"2020","unstructured":"Perlasca P, Frasca M, Ba CT, Gliozzo J, Notaro M, Pennacchioni M, Valentini G, Mesiti M (2020) Multi-resolution visualization and analysis of biomolecular networks through hierarchical community detection and web-based graphical tools. PLoS ONE. https:\/\/doi.org\/10.1371\/journal.pone.0244241","journal-title":"PLoS ONE"},{"key":"1121_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.06.030","author":"X You","year":"2020","unstructured":"You X, Ma Y, Liu Z (2020) A three-stage algorithm on community detection in social networks. Knowl-Based Syst. https:\/\/doi.org\/10.1016\/j.knosys.2019.06.030","journal-title":"Knowl-Based Syst"},{"key":"1121_CR3","doi-asserted-by":"publisher","unstructured":"Karatas A, Sahin S (2019) In: Proceedings of international congress on big data, deep learning and fighting cyber terrorism, IBIGDELFT 2018. https:\/\/doi.org\/10.1109\/IBIGDELFT.2018.8625349","DOI":"10.1109\/IBIGDELFT.2018.8625349"},{"key":"1121_CR4","doi-asserted-by":"publisher","unstructured":"Varsha K, Patil KK (2020) In: Proceedings of the 5th international conference on inventive computation technologies, ICICT 2020. https:\/\/doi.org\/10.1109\/ICICT48043.2020.9112563","DOI":"10.1109\/ICICT48043.2020.9112563"},{"key":"1121_CR5","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2019.2899366","author":"J Cao","year":"2019","unstructured":"Cao J, Bu Z, Wang Y, Yang H, Jiang J, Li HJ (2019) Detecting prosumer-community groups in smart grids from the multiagent. Perspective. https:\/\/doi.org\/10.1109\/TSMC.2019.2899366","journal-title":"Perspective"},{"key":"1121_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/s12080-007-0007-8","author":"S Allesina","year":"2008","unstructured":"Allesina S, Pascual M (2008) Network structure, predator: prey modules, and stability in large food webs. Thyroid Res. https:\/\/doi.org\/10.1007\/s12080-007-0007-8","journal-title":"Thyroid Res"},{"key":"1121_CR7","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2021.3071542","author":"UK Roy","year":"2021","unstructured":"Roy UK, Muhuri PK, Biswas SK (2021) NeSiFC: neighbors\u2019 similarity-based fuzzy community detection using modified local random walk. IEEE Trans Cybern. https:\/\/doi.org\/10.1109\/TCYB.2021.3071542","journal-title":"IEEE Trans Cybern"},{"key":"1121_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2021.126513","author":"R Shang","year":"2022","unstructured":"Shang R, Zhang W, Zhang J, Feng J, Jiao L (2022) Local community detection based on higher-order structure and edge information. Phys A. https:\/\/doi.org\/10.1016\/j.physa.2021.126513","journal-title":"Phys A"},{"key":"1121_CR9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2892096","author":"H Van Lierde","year":"2020","unstructured":"Van Lierde H, Chow TW, Chen G (2020) Scalable spectral clustering for overlapping community detection in large-scale networks. IEEE Trans Knowl Data Eng. https:\/\/doi.org\/10.1109\/TKDE.2019.2892096","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"2","key":"1121_CR10","doi-asserted-by":"publisher","first-page":"543","DOI":"10.1109\/TNET.2020.3038756","volume":"29","author":"F Cheng","year":"2021","unstructured":"Cheng F, Wang C, Zhang X, Yang Y (2021) A local-neighborhood information based overlapping community detection algorithm for large-scale complex networks. IEEE\/ACM Trans Netw 29(2):543\u2013556. https:\/\/doi.org\/10.1109\/TNET.2020.3038756","journal-title":"IEEE\/ACM Trans Netw"},{"key":"1121_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2020.125420","author":"S Aghaalizadeh","year":"2021","unstructured":"Aghaalizadeh S, Afshord ST, Bouyer A, Anari B (2021) A three-stage algorithm for local community detection based on the high node importance ranking in social networks. Phys A. https:\/\/doi.org\/10.1016\/j.physa.2020.125420","journal-title":"Phys A"},{"key":"1121_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.113020","author":"I Ben El Kouni","year":"2020","unstructured":"Ben El Kouni I, Karoui W, Romdhane LB (2020) Node importance based label propagation algorithm for overlapping community detection in networks. Expert Syst Appl. https:\/\/doi.org\/10.1016\/j.eswa.2019.113020","journal-title":"Expert Syst Appl"},{"key":"1121_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2019.01.142","author":"Y Gao","year":"2019","unstructured":"Gao Y, Zhang H, Zhang Y (2019) Overlapping community detection based on conductance optimization in large-scale networks. Phys A. https:\/\/doi.org\/10.1016\/j.physa.2019.01.142","journal-title":"Phys A"},{"key":"1121_CR14","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0169355","author":"X Wang","year":"2017","unstructured":"Wang X, Liu G, Li J, Nees JP (2017) Locating structural centers: a density-based clustering method for community detection. PLoS ONE. https:\/\/doi.org\/10.1371\/journal.pone.0169355","journal-title":"PLoS ONE"},{"key":"1121_CR15","doi-asserted-by":"publisher","DOI":"10.1038\/nature03607","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. https:\/\/doi.org\/10.1038\/nature03607","journal-title":"Nature"},{"key":"1121_CR16","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.76.036106","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 Nonlin Soft Matter Phys. https:\/\/doi.org\/10.1103\/PhysRevE.76.036106","journal-title":"Phys Rev E: Stat Nonlin Soft Matter Phys"},{"key":"1121_CR17","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.72.026132","author":"A Clauset","year":"2005","unstructured":"Clauset A (2005) Finding local community structure in networks. Phys Rev E: Stat Nonlin Soft Matter Phys. https:\/\/doi.org\/10.1103\/PhysRevE.72.026132","journal-title":"Phys Rev E: Stat Nonlin Soft Matter Phys"},{"key":"1121_CR18","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-02052-0","author":"K Guo","year":"2021","unstructured":"Guo K, Huang X, Wu L, Chen Y (2021) Local community detection algorithm based on local modularity density. Appl Intell. https:\/\/doi.org\/10.1007\/s10489-020-02052-0","journal-title":"Appl Intell"},{"key":"1121_CR19","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2008\/10\/P10008","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. https:\/\/doi.org\/10.1088\/1742-5468\/2008\/10\/P10008","journal-title":"J Stat Mech: Theory Exp"},{"key":"1121_CR20","doi-asserted-by":"publisher","DOI":"10.1142\/S0219525919500048","author":"L Hao","year":"2019","unstructured":"Hao L, Liu XW (2019) A unified community detection algorithm in large-scale complex networks. Adv Complex Syst. https:\/\/doi.org\/10.1142\/S0219525919500048","journal-title":"Adv Complex Syst"},{"key":"1121_CR21","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2018.2879494","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. https:\/\/doi.org\/10.1109\/TCSS.2018.2879494","journal-title":"IEEE Trans Comput Soc Syst"},{"key":"1121_CR22","doi-asserted-by":"publisher","DOI":"10.1142\/S0217979218500625","author":"K Berahmand","year":"2018","unstructured":"Berahmand K, Bouyer A (2018) LP-LPA: a link influence-based label propagation algorithm for discovering community structures in networks. Int J Mod Phys B. https:\/\/doi.org\/10.1142\/S0217979218500625","journal-title":"Int J Mod Phys B"},{"key":"1121_CR23","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.69.026113","author":"ME Newman","year":"2004","unstructured":"Newman ME, Girvan M (2004) Finding and evaluating community structure in networks. Phys Rev E: Stat Nonlin Soft Matter Phys. https:\/\/doi.org\/10.1103\/PhysRevE.69.026113","journal-title":"Phys Rev E: Stat Nonlin Soft Matter Phys"},{"key":"1121_CR24","doi-asserted-by":"publisher","DOI":"10.1080\/03081079.2020.1863394","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 J Gen Syst. https:\/\/doi.org\/10.1080\/03081079.2020.1863394","journal-title":"Int J Gen Syst"},{"key":"1121_CR25","doi-asserted-by":"publisher","DOI":"10.1177\/0165551516657717","author":"ME Samie","year":"2017","unstructured":"Samie ME, Hamzeh A (2017) Community detection in dynamic social networks: A local evolutionary approach. J Inf Sci. https:\/\/doi.org\/10.1177\/0165551516657717","journal-title":"J Inf Sci"},{"key":"1121_CR26","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2020.2964027","author":"X Liu","year":"2020","unstructured":"Liu X, Du Y, Jiang M, Zeng X (2020) Multiobjective particle swarm optimization based on network embedding for complex network community detection. IEEE Trans Comput Soc Syst. https:\/\/doi.org\/10.1109\/TCSS.2020.2964027","journal-title":"IEEE Trans Comput Soc Syst"},{"key":"1121_CR27","doi-asserted-by":"publisher","unstructured":"Yang J, Leskovec J (2013) In: WSDM 2013 Proceedings of the 6th ACM international conference on web search and data mining. https:\/\/doi.org\/10.1145\/2433396.2433471","DOI":"10.1145\/2433396.2433471"},{"key":"1121_CR28","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2938895","author":"X Zeng","year":"2020","unstructured":"Zeng X, Wang W, Chen C, Yen GG (2020) A consensus community-based particle swarm optimization for dynamic community detection. IEEE Trans Cybern. https:\/\/doi.org\/10.1109\/TCYB.2019.2938895","journal-title":"IEEE Trans Cybern"},{"key":"1121_CR29","doi-asserted-by":"crossref","unstructured":"Eiben AE, Smith JE (2015) Introduction to evolutionary computing genetic algorithms","DOI":"10.1007\/978-3-662-44874-8"},{"key":"1121_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2020.124897","author":"W Zhan","year":"2020","unstructured":"Zhan W, Deng L, Guan J, Niu J, Sun D (2020) Revealing dynamic communities in networks using genetic algorithm with merge and split operators. Physica A. https:\/\/doi.org\/10.1016\/j.physa.2020.124897","journal-title":"Physica A"},{"key":"1121_CR31","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-018-1386-9","author":"I Messaoudi","year":"2019","unstructured":"Messaoudi I, Kamel N (2019) A multi-objective bat algorithm for community detection on dynamic social networks. Appl Intell. https:\/\/doi.org\/10.1007\/s10489-018-1386-9","journal-title":"Appl Intell"},{"key":"1121_CR32","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.eswa.2020.113916","volume":"165","author":"M Orouskhani","year":"2021","unstructured":"Orouskhani M, Shi D, Orouskhani Y (2021) Multi-objective evolutionary clustering with complex networks. Expert Syst Appl 165:113\u2013916. https:\/\/doi.org\/10.1016\/j.eswa.2020.113916","journal-title":"Expert Syst Appl"},{"key":"1121_CR33","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-41695-z","author":"VA Traag","year":"2019","unstructured":"Traag VA, Waltman L, van Eck NJ (2019) From Louvain to Leiden: guaranteeing well-connected communities. Sci Rep. https:\/\/doi.org\/10.1038\/s41598-019-41695-z","journal-title":"Sci Rep"},{"key":"1121_CR34","doi-asserted-by":"publisher","DOI":"10.3390\/e23050497","author":"H Li","year":"2021","unstructured":"Li H, Zhang R, Zhao Z, Liu X (2021) Lpa-mni: an improved label propagation algorithm based on modularity and node importance for community detection. Entropy. https:\/\/doi.org\/10.3390\/e23050497","journal-title":"Entropy"},{"key":"1121_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2016.11.066","author":"R Shang","year":"2017","unstructured":"Shang R, Zhang W, Jiao L, Stolkin R, Xue Y (2017) A community integration strategy based on an improved modularity density increment for large-scale networks. Physica A. https:\/\/doi.org\/10.1016\/j.physa.2016.11.066","journal-title":"Physica A"},{"key":"1121_CR36","doi-asserted-by":"publisher","DOI":"10.1007\/s00607-021-00948-4","author":"K Asmi","year":"2021","unstructured":"Asmi K, Lotfi D, Abarda A (2021) The greedy coupled-seeds expansion method for the overlapping community detection in social networks. Computing. https:\/\/doi.org\/10.1007\/s00607-021-00948-4","journal-title":"Computing"},{"key":"1121_CR37","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2518687","author":"JJ Whang","year":"2016","unstructured":"Whang JJ, Gleich DF, Dhillon IS (2016) Overlapping community detection using neighborhood-inflated seed expansion. IEEE Trans Knowl Data Eng. https:\/\/doi.org\/10.1109\/TKDE.2016.2518687","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"4","key":"1121_CR38","doi-asserted-by":"publisher","first-page":"218","DOI":"10.1109\/TCSS.2017.2749282","volume":"4","author":"X Zhang","year":"2017","unstructured":"Zhang X, Wang C, Su Y, Pan L, Zhang HF (2017) A fast overlapping community detection algorithm based on weak cliques for large-scale networks. IEEE Trans Comput Soc Syst 4(4):218\u2013230. https:\/\/doi.org\/10.1109\/TCSS.2017.2749282","journal-title":"IEEE Trans Comput Soc Syst"},{"key":"1121_CR39","doi-asserted-by":"publisher","DOI":"10.1103\/physreve.78.026109","author":"JM Kumpula","year":"2008","unstructured":"Kumpula JM, Kivel\u00e4 M, Kaski K, Saram\u00e4ki J (2008) Sequential algorithm for fast clique percolation. Phys Rev E. https:\/\/doi.org\/10.1103\/physreve.78.026109","journal-title":"Phys Rev E"},{"key":"1121_CR40","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2020.2981333","author":"Z Zhang","year":"2022","unstructured":"Zhang Z, Cui P, Zhu W (2022) Deep learning on graphs: a survey. IEEE Trans Knowl Data Eng. https:\/\/doi.org\/10.1109\/TKDE.2020.2981333","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1121_CR41","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3137396","author":"X Su","year":"2022","unstructured":"Su X, Xue S, Liu F, Wu J, Yang J, Zhou C, Hu W, Paris C, Nepal S, Jin D, Sheng QZ, Yu PS (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":"1121_CR42","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-018-1156-3","author":"V Bhatia","year":"2018","unstructured":"Bhatia V, Rani R (2018) DFuzzy: a deep learning-based fuzzy clustering model for large graphs. Knowl Inf Syst. https:\/\/doi.org\/10.1007\/s10115-018-1156-3","journal-title":"Knowl Inf Syst"},{"key":"1121_CR43","doi-asserted-by":"publisher","unstructured":"D. Easley, J. Kleinberg (2010) Networks, crowds, and markets. https:\/\/doi.org\/10.1017\/cbo9780511761942","DOI":"10.1017\/cbo9780511761942"},{"key":"1121_CR44","doi-asserted-by":"publisher","DOI":"10.3390\/bdcc5010014","author":"C Makris","year":"2021","unstructured":"Makris C, Pispirigos G (2021) Stacked community prediction: a distributed stacking-based community extraction methodology for large scale social networks. Big Data Cognit Comput. https:\/\/doi.org\/10.3390\/bdcc5010014","journal-title":"Big Data Cognit Comput"},{"key":"1121_CR45","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2020.3049068","author":"T Magelinski","year":"2021","unstructured":"Magelinski T, Bartulovic M, Carley KM (2021) Measuring node contribution to community structure with modularity vitality. IEEE Trans Netw Sci Eng. https:\/\/doi.org\/10.1109\/TNSE.2020.3049068","journal-title":"IEEE Trans Netw Sci Eng"},{"key":"1121_CR46","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2937580","author":"X Pan","year":"2019","unstructured":"Pan X, Xu G, Wang B, Zhang T (2019) A novel community detection algorithm based on local similarity of clustering coefficient in social networks. IEEE Access. https:\/\/doi.org\/10.1109\/ACCESS.2019.2937580","journal-title":"IEEE Access"},{"issue":"3","key":"1121_CR47","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.77.036109","volume":"77","author":"Z Li","year":"2008","unstructured":"Li Z, Zhang S, Wang RS, Zhang XS, Chen L (2008) Quantitative function for community detection. Phys Rev E: Stat Nonlin Soft Matter Phys 77(3):036109. https:\/\/doi.org\/10.1103\/PhysRevE.77.036109","journal-title":"Phys Rev E: Stat Nonlin Soft Matter Phys"},{"key":"1121_CR48","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2020.2989295","author":"A Kumar","year":"2020","unstructured":"Kumar A, Barman D, Sarkar R, Chowdhury N (2020) Overlapping community detection using multiobjective genetic algorithm. IEEE Trans Comput Soc Syst. https:\/\/doi.org\/10.1109\/TCSS.2020.2989295","journal-title":"IEEE Trans Comput Soc Syst"},{"key":"1121_CR49","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.78.046110","author":"A Lancichinetti","year":"2008","unstructured":"Lancichinetti A, Fortunato S, Radicchi F (2008) Benchmark graphs for testing community detection algorithms. Phys Rev E: Stat Nonlin Soft Matter Phys. https:\/\/doi.org\/10.1103\/PhysRevE.78.046110","journal-title":"Phys Rev E: Stat Nonlin Soft Matter Phys"},{"key":"1121_CR50","doi-asserted-by":"publisher","DOI":"10.1145\/2898361","author":"J Leskovec","year":"2016","unstructured":"Leskovec J, Sosi\u010d R (2016) SNAP: a general-purpose network analysis and graph-mining library. ACM Trans Intell Syst Technol. https:\/\/doi.org\/10.1145\/2898361","journal-title":"ACM Trans Intell Syst Technol"},{"key":"1121_CR51","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2005\/09\/P09008","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. https:\/\/doi.org\/10.1088\/1742-5468\/2005\/09\/P09008","journal-title":"J Stat Mech: Theory Exp"},{"key":"1121_CR52","doi-asserted-by":"publisher","DOI":"10.1088\/1367-2630\/11\/3\/033015","author":"A Lancichinetti","year":"2009","unstructured":"Lancichinetti A, Fortunato S, Kert\u00e9sz J (2009) Detecting the overlapping and hierarchical community structure in complex networks. New J Phys. https:\/\/doi.org\/10.1088\/1367-2630\/11\/3\/033015","journal-title":"New J Phys"},{"key":"1121_CR53","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.01.002","author":"D Rhouma","year":"2014","unstructured":"Rhouma D, Romdhane LB (2014) An efficient algorithm for community mining with overlap in social networks. Expert Syst Appl. https:\/\/doi.org\/10.1016\/j.eswa.2014.01.002","journal-title":"Expert Syst Appl"},{"key":"1121_CR54","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"},{"key":"1121_CR55","doi-asserted-by":"publisher","unstructured":"Rossetti G, Cazabet R (2018) Community discovery in dynamic networks: a survey. https:\/\/doi.org\/10.1145\/3172867","DOI":"10.1145\/3172867"}],"container-title":["Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-022-01121-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00607-022-01121-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00607-022-01121-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,7]],"date-time":"2023-01-07T18:08:06Z","timestamp":1673114886000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00607-022-01121-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,28]]},"references-count":55,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2023,1]]}},"alternative-id":["1121"],"URL":"https:\/\/doi.org\/10.1007\/s00607-022-01121-1","relation":{},"ISSN":["0010-485X","1436-5057"],"issn-type":[{"value":"0010-485X","type":"print"},{"value":"1436-5057","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,28]]},"assertion":[{"value":"15 May 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 September 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 September 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}