{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T04:44:48Z","timestamp":1768970688775,"version":"3.49.0"},"reference-count":67,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T00:00:00Z","timestamp":1693785600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T00:00:00Z","timestamp":1693785600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100013373","name":"Alberta Machine Intelligence Institute","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100013373","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Laboratoire Hubert Curien"},{"DOI":"10.13039\/100007631","name":"Canadian Institute for Advanced Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007631","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soc. Netw. Anal. Min."],"DOI":"10.1007\/s13278-023-01115-7","type":"journal-article","created":{"date-parts":[[2023,9,4]],"date-time":"2023-09-04T06:02:29Z","timestamp":1693807349000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Fast local community discovery relying on the strength of links"],"prefix":"10.1007","volume":"13","author":[{"given":"Mohammadmahdi","family":"Zafarmand","sequence":"first","affiliation":[]},{"given":"Yashar","family":"Talebirad","sequence":"additional","affiliation":[]},{"given":"Eric","family":"Austin","sequence":"additional","affiliation":[]},{"given":"Christine","family":"Largeron","sequence":"additional","affiliation":[]},{"given":"Osmar R.","family":"Za\u00efane","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,9,4]]},"reference":[{"key":"1115_CR1","doi-asserted-by":"publisher","unstructured":"Adamic LA, Glance N (2005) The political blogosphere and the 2004 U.S. Election: divided they blog. In: Proceedings of the 3rd international workshop on link discovery. LinkKDD \u201905. Association for Computing Machinery, New York, NY, USA, pp 36\u201343. https:\/\/doi.org\/10.1145\/1134271.1134277","DOI":"10.1145\/1134271.1134277"},{"issue":"11","key":"1115_CR2","doi-asserted-by":"publisher","first-page":"1298","DOI":"10.14778\/3137628.3137640","volume":"10","author":"E Akbas","year":"2017","unstructured":"Akbas E, Zhao P (2017) Truss-based community search. Proc VLDB Endow 10(11):1298\u20131309. https:\/\/doi.org\/10.14778\/3137628.3137640","journal-title":"Proc VLDB Endow"},{"key":"1115_CR3","doi-asserted-by":"publisher","unstructured":"Andersen R, Chung F, Lang K (2006) Local graph partitioning using pagerank vectors. In: 2006 47th annual IEEE symposium on foundations of computer science (FOCS\u201906), pp 475\u2013486. https:\/\/doi.org\/10.1109\/FOCS.2006.44","DOI":"10.1109\/FOCS.2006.44"},{"key":"1115_CR4","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.72.046108","volume":"72","author":"JP Bagrow","year":"2005","unstructured":"Bagrow JP, Bollt EM (2005) Local method for detecting communities. Phys Rev E 72:046108. https:\/\/doi.org\/10.1103\/PhysRevE.72.046108","journal-title":"Phys Rev E"},{"key":"1115_CR5","doi-asserted-by":"publisher","first-page":"110701","DOI":"10.1109\/ACCESS.2022.3213980","volume":"10","author":"G Baltsou","year":"2022","unstructured":"Baltsou G, Christopoulos K, Tsichlas K (2022) Local community detection: a survey. IEEE Access 10:110701\u2013110726","journal-title":"IEEE Access"},{"issue":"5","key":"1115_CR6","doi-asserted-by":"publisher","first-page":"1406","DOI":"10.1007\/s10618-015-0422-1","volume":"29","author":"N Barbieri","year":"2015","unstructured":"Barbieri N, Bonchi F, Galimberti E, Gullo F (2015) Efficient and effective community search. Data Min Knowl Disc 29(5):1406\u20131433. https:\/\/doi.org\/10.1007\/s10618-015-0422-1","journal-title":"Data Min Knowl Disc"},{"issue":"11","key":"1115_CR7","doi-asserted-by":"publisher","first-page":"3747","DOI":"10.1073\/pnas.0400087101","volume":"101","author":"A Barrat","year":"2004","unstructured":"Barrat A, Barthelemy M, Pastor-Satorras R, Vespignani A (2004) The architecture of complex weighted networks. Proc Natl Acad Sci 101(11):3747\u20133752. https:\/\/doi.org\/10.1073\/pnas.0400087101","journal-title":"Proc Natl Acad Sci"},{"key":"1115_CR8","doi-asserted-by":"publisher","unstructured":"Bian Y, Ni J, Cheng W, Zhang X (2017) Many heads are better than one: local community detection by the multi-walker chain. In: 2017 IEEE international conference on data mining (ICDM), pp 21\u201330. https:\/\/doi.org\/10.1109\/ICDM.2017.11","DOI":"10.1109\/ICDM.2017.11"},{"issue":"10","key":"1115_CR9","doi-asserted-by":"publisher","first-page":"10008","DOI":"10.1088\/1742-5468\/2008\/10\/p10008","volume":"2008","author":"VD Blondel","year":"2008","unstructured":"Blondel VD, Guillaume J-L, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J Stat Mech: Theory Exp 2008(10):10008. https:\/\/doi.org\/10.1088\/1742-5468\/2008\/10\/p10008","journal-title":"J Stat Mech: Theory Exp"},{"key":"1115_CR10","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1007\/978-3-540-92695-5_4","volume-title":"Learning and Intelligent Optimization","author":"M Brunato","year":"2008","unstructured":"Brunato M, Hoos HH, Battiti R (2008) On effectively finding maximal quasi-cliques in graphs. In: Maniezzo V, Battiti R, Watson J-P (eds) Learning and Intelligent Optimization. Springer, Berlin, pp 41\u201355"},{"key":"1115_CR11","doi-asserted-by":"publisher","unstructured":"Chen J, Za\u00efane OR, Goebel R (2010) In: Memon N, Alhajj R (eds) Detecting communities in social networks using local information. Springer, Vienna, pp 197\u2013214. https:\/\/doi.org\/10.1007\/978-3-7091-0294-7_11","DOI":"10.1007\/978-3-7091-0294-7_11"},{"issue":"2","key":"1115_CR12","doi-asserted-by":"publisher","DOI":"10.1103\/physreve.72.026132","volume":"72","author":"A Clauset","year":"2005","unstructured":"Clauset A (2005) Finding local community structure in networks. Phys Rev E 72(2):026132. https:\/\/doi.org\/10.1103\/physreve.72.026132","journal-title":"Phys Rev E"},{"key":"1115_CR13","doi-asserted-by":"publisher","unstructured":"Cui W, Xiao Y, Wang H, Lu Y, Wang W (2013) Online search of overlapping communities. In: Proceedings of the 2013 ACM SIGMOD international conference on management of data. SIGMOD \u201913. Association for Computing Machinery, New York, NY, USA, pp 277\u2013288. https:\/\/doi.org\/10.1145\/2463676.2463722","DOI":"10.1145\/2463676.2463722"},{"key":"1115_CR14","doi-asserted-by":"publisher","unstructured":"Cui W, Xiao Y, Wang H, Wang W (2014) Local search of communities in large graphs. In: Proceedings of the 2014 ACM SIGMOD international conference on management of data. SIGMOD \u201914. Association for Computing Machinery, New York, NY, USA, pp 991\u20131002. https:\/\/doi.org\/10.1145\/2588555.2612179","DOI":"10.1145\/2588555.2612179"},{"issue":"09","key":"1115_CR15","doi-asserted-by":"publisher","first-page":"09008","DOI":"10.1088\/1742-5468\/2005\/09\/p09008","volume":"2005","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 2005(09):09008\u201309008. https:\/\/doi.org\/10.1088\/1742-5468\/2005\/09\/p09008","journal-title":"J Stat Mech Theory Exp"},{"issue":"1","key":"1115_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1017\/nws.2019.59","volume":"8","author":"VL Dao","year":"2020","unstructured":"Dao VL, Bothorel C, Lenca P (2020) Community structure: a comparative evaluation of community detection methods. Netw Sci 8(1):1\u201341. https:\/\/doi.org\/10.1017\/nws.2019.59","journal-title":"Netw Sci"},{"key":"1115_CR17","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.jcss.2013.03.012","volume":"1","author":"P De Meo","year":"2014","unstructured":"De Meo P, Ferrara E, Fiumara G, Provetti A (2014) Mixing local and global information for community detection in large networks. J Comput Syst Sci 1:72\u201387","journal-title":"J Comput Syst Sci"},{"key":"1115_CR18","doi-asserted-by":"crossref","unstructured":"Dilmaghani S, Brust MR, Danoy G, Bouvry P (2021) Community detection in complex networks: a survey on local approaches. In: Asian conference intelligent information and database systems, pp 757\u2013767","DOI":"10.1007\/978-3-030-73280-6_60"},{"key":"1115_CR19","doi-asserted-by":"publisher","unstructured":"Fagnan J, Za\u00efane O, Barbosa D (2014) Using triads to identify local community structure in social networks. In: IEEE\/ACM international conference on advances in social networks analysis and mining, pp 108\u2013112. https:\/\/doi.org\/10.1109\/ASONAM.2014.6921568","DOI":"10.1109\/ASONAM.2014.6921568"},{"issue":"1","key":"1115_CR20","doi-asserted-by":"publisher","first-page":"353","DOI":"10.1007\/s00778-019-00556-x","volume":"29","author":"Y Fang","year":"2019","unstructured":"Fang Y, Huang X, Qin L, Zhang Y, Zhang W, Cheng R, Lin X (2019) A survey of community search over big graphs. VLDB J 29(1):353\u2013392. https:\/\/doi.org\/10.1007\/s00778-019-00556-x","journal-title":"VLDB J"},{"issue":"6","key":"1115_CR21","doi-asserted-by":"publisher","first-page":"854","DOI":"10.14778\/3380750.3380756","volume":"13","author":"Y Fang","year":"2020","unstructured":"Fang Y, Yang Y, Zhang W, Lin X, Cao X (2020) Effective and efficient community search over large heterogeneous information networks. Proc VLDB Endow 13(6):854\u2013867. https:\/\/doi.org\/10.14778\/3380750.3380756","journal-title":"Proc VLDB Endow"},{"issue":"3\u20135","key":"1115_CR22","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"},{"key":"1115_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.physrep.2016.09.002","volume":"659","author":"S Fortunato","year":"2016","unstructured":"Fortunato S, Hric D (2016) Community detection in networks: a user guide. Phys Rep 659:1\u201344. https:\/\/doi.org\/10.1016\/j.physrep.2016.09.002","journal-title":"Phys Rep"},{"key":"1115_CR24","doi-asserted-by":"crossref","unstructured":"Gharaghooshi SZ, Zaiane OR, Largeron C, Zafarmand M, Liu C (2020) Addressing the resolution limit and the field of view limit in community mining. In: Symposium on intelligent data analysis (IDA\u201920)","DOI":"10.1007\/978-3-030-44584-3_17"},{"issue":"12","key":"1115_CR25","doi-asserted-by":"publisher","first-page":"7821","DOI":"10.1073\/pnas.122653799","volume":"99","author":"M Girvan","year":"2002","unstructured":"Girvan M, Newman MEJ (2002) Community structure in social and biological networks. Proc Natl Acad Sci 99(12):7821\u20137826. https:\/\/doi.org\/10.1073\/pnas.122653799","journal-title":"Proc Natl Acad Sci"},{"key":"1115_CR26","doi-asserted-by":"publisher","first-page":"201","DOI":"10.2307\/202051","volume":"1","author":"M Granovetter","year":"1983","unstructured":"Granovetter M (1983) The strength of weak ties: a network theory revisited. Sociol Theory 1:201\u2013233. https:\/\/doi.org\/10.2307\/202051","journal-title":"Sociol Theory"},{"issue":"3","key":"1115_CR27","doi-asserted-by":"publisher","first-page":"90","DOI":"10.3390\/a10030090","volume":"10","author":"M Hamann","year":"2017","unstructured":"Hamann M, R\u00f6hrs E, Wagner D (2017) Local community detection based on small cliques. Algorithms 10(3):90. https:\/\/doi.org\/10.3390\/a10030090","journal-title":"Algorithms"},{"issue":"8","key":"1115_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0023829","volume":"6","author":"J Huang","year":"2011","unstructured":"Huang J, Sun H, Liu Y, Song Q, Weninger T (2011) Towards online multiresolution community detection in large-scale networks. PLOS ONE 6(8):1\u201311. https:\/\/doi.org\/10.1371\/journal.pone.0023829","journal-title":"PLOS ONE"},{"issue":"4","key":"1115_CR29","doi-asserted-by":"publisher","first-page":"276","DOI":"10.14778\/2856318.2856323","volume":"9","author":"X Huang","year":"2015","unstructured":"Huang X, Lakshmanan LVS, Yu JX, Cheng H (2015) Approximate closest community search in networks. Proc VLDB Endow 9(4):276\u2013287. https:\/\/doi.org\/10.14778\/2856318.2856323","journal-title":"Proc VLDB Endow"},{"issue":"6","key":"1115_CR30","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2200\/s00928ed1v01y201906dtm061","volume":"14","author":"X Huang","year":"2019","unstructured":"Huang X, Lakshmanan LVS, Xu J (2019) Community search over big graphs. Synth Lect Data Manag 14(6):1\u2013206. https:\/\/doi.org\/10.2200\/s00928ed1v01y201906dtm061","journal-title":"Synth Lect Data Manag"},{"key":"1115_CR31","doi-asserted-by":"publisher","unstructured":"Huang X, Cheng H, Qin L, Tian W, Yu JX (2014) Querying k-truss community in large and dynamic graphs. In: Proceedings of the 2014 ACM SIGMOD international conference on management of data. SIGMOD \u201914. Association for Computing Machinery, New York, NY, USA, pp 1311\u20131322. https:\/\/doi.org\/10.1145\/2588555.2610495","DOI":"10.1145\/2588555.2610495"},{"key":"1115_CR32","doi-asserted-by":"publisher","unstructured":"Kwak H, Lee C, Park H, Moon S (2010) What is twitter, a social network or a news media? In: Proceedings of the 19th international conference on world wide web, New York, NY, USA, pp 591\u2013600 . https:\/\/doi.org\/10.1145\/1772690.1772751","DOI":"10.1145\/1772690.1772751"},{"issue":"1","key":"1115_CR33","doi-asserted-by":"publisher","DOI":"10.1103\/physreve.80.016118","volume":"80","author":"A Lancichinetti","year":"2009","unstructured":"Lancichinetti A, Fortunato S (2009) Benchmarks for testing community detection algorithms on directed and weighted graphs with overlapping communities. Phys Rev E 80(1):016118. https:\/\/doi.org\/10.1103\/physreve.80.016118","journal-title":"Phys Rev E"},{"issue":"6","key":"1115_CR34","doi-asserted-by":"publisher","DOI":"10.1103\/physreve.84.066122","volume":"84","author":"A Lancichinetti","year":"2011","unstructured":"Lancichinetti A, Fortunato S (2011) Limits of modularity maximization in community detection. Phys Rev E 84(6):066122. https:\/\/doi.org\/10.1103\/physreve.84.066122","journal-title":"Phys Rev E"},{"issue":"4","key":"1115_CR35","doi-asserted-by":"publisher","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 78(4):046110. https:\/\/doi.org\/10.1103\/physreve.78.046110","journal-title":"Phys Rev E"},{"key":"1115_CR36","doi-asserted-by":"publisher","unstructured":"Li P-Z, Huang L, Wang C-D, Lai J-H (2019) Edmot: an edge enhancement approach for motif-aware community detection. In: Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery and data mining. KDD \u201919. Association for Computing Machinery, New York, NY, USA, pp 479\u2013487. https:\/\/doi.org\/10.1145\/3292500.3330882","DOI":"10.1145\/3292500.3330882"},{"issue":"5","key":"1115_CR37","doi-asserted-by":"publisher","first-page":"3136","DOI":"10.1109\/tfuzz.2018.2812148","volume":"26","author":"W Luo","year":"2018","unstructured":"Luo W, Zhang D, Jiang H, Ni L, Hu Y (2018) Local community detection with the dynamic membership function. IEEE Trans Fuzzy Syst 26(5):3136\u20133150. https:\/\/doi.org\/10.1109\/tfuzz.2018.2812148","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"1115_CR38","doi-asserted-by":"publisher","unstructured":"Luo D, Bian Y, Yan Y, Liu X, Huan J, Zhang X (2020) Local community detection in multiple networks. In: Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery and data mining. KDD \u201920. Association for Computing Machinery, New York, NY, USA, pp 266\u2013274. https:\/\/doi.org\/10.1145\/3394486.3403069","DOI":"10.1145\/3394486.3403069"},{"key":"1115_CR39","doi-asserted-by":"publisher","unstructured":"Luo F, Wang JZ, Promislow E (2006) Exploring local community structures in large networks. In: 2006 IEEE\/WIC\/ACM international conference on web intelligence (WI 2006 main conference proceedings)(WI\u201906), pp 233\u2013239. https:\/\/doi.org\/10.1109\/WI.2006.72","DOI":"10.1109\/WI.2006.72"},{"key":"1115_CR40","doi-asserted-by":"publisher","first-page":"S186","DOI":"10.1098\/rsbl.2003.0057","volume":"270","author":"D Lusseau","year":"2003","unstructured":"Lusseau D (2003) The emergent properties of a dolphin social network. Proc R Soc Lond Ser B Biol Sci 270:S186\u2013S188. https:\/\/doi.org\/10.1098\/rsbl.2003.0057","journal-title":"Proc R Soc Lond Ser B Biol Sci"},{"issue":"5594","key":"1115_CR41","doi-asserted-by":"publisher","first-page":"824","DOI":"10.1126\/science.298.5594.824","volume":"298","author":"R Milo","year":"2002","unstructured":"Milo R (2002) Network motifs: simple building blocks of complex networks. Science 298(5594):824\u2013827. https:\/\/doi.org\/10.1126\/science.298.5594.824","journal-title":"Science"},{"issue":"6","key":"1115_CR42","doi-asserted-by":"publisher","DOI":"10.1103\/physreve.71.065103","volume":"71","author":"J-P Onnela","year":"2005","unstructured":"Onnela J-P, Saram\u00e4ki J, Kert\u00e9sz J, Kaski K (2005) Intensity and coherence of motifs in weighted complex networks. Phys Rev E 71(6):065103. https:\/\/doi.org\/10.1103\/physreve.71.065103","journal-title":"Phys Rev E"},{"issue":"2","key":"1115_CR43","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/j.socnet.2009.02.002","volume":"31","author":"T Opsahl","year":"2009","unstructured":"Opsahl T, Panzarasa P (2009) Clustering in weighted networks. Soc Netw 31(2):155\u2013163. https:\/\/doi.org\/10.1016\/j.socnet.2009.02.002","journal-title":"Soc Netw"},{"issue":"7043","key":"1115_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"},{"issue":"5","key":"1115_CR45","doi-asserted-by":"publisher","first-page":"1602548","DOI":"10.1126\/sciadv.1602548","volume":"3","author":"L Peel","year":"2017","unstructured":"Peel L, Larremore DB, Clauset A (2017) The ground truth about metadata and community detection in networks. Sci Adv 3(5):1602548. https:\/\/doi.org\/10.1126\/sciadv.1602548","journal-title":"Sci Adv"},{"key":"1115_CR46","doi-asserted-by":"crossref","unstructured":"Pons P, Latapy M (2005) Computing communities in large networks using random walks. In: Yolum P, G\u00fcng\u00f6r T, G\u00fcrgen F, \u00d6zturan C (eds) Computer and information sciences\u2014ISCIS 2005. Springer, Berlin, pp 284\u2013293","DOI":"10.1007\/11569596_31"},{"key":"1115_CR47","doi-asserted-by":"publisher","unstructured":"Rabbany R, Zaiane OR (2015) Evaluation of community mining algorithms in the presence of attributes. In: Li X-L, Cao T, Lim E-P, Zhou Z-H, Ho T-B, Cheung D (eds) Trends and applications in knowledge discovery and data mining. Lecture Notes in Computer Science. Springer, pp 152\u2013163. https:\/\/doi.org\/10.1007\/978-3-319-25660-3_13","DOI":"10.1007\/978-3-319-25660-3_13"},{"issue":"3","key":"1115_CR48","doi-asserted-by":"publisher","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 76(3):036106. https:\/\/doi.org\/10.1103\/physreve.76.036106","journal-title":"Phys Rev E"},{"key":"1115_CR49","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s41109-019-0165-9","volume":"4","author":"G Rossetti","year":"2019","unstructured":"Rossetti G, Milli L, Cazabet R (2019) CDLIB: a python library to extract, compare and evaluate communities from complex networks. Appl Netw Sci 4:1\u201326. https:\/\/doi.org\/10.1007\/s41109-019-0165-9","journal-title":"Appl Netw Sci"},{"issue":"4","key":"1115_CR50","doi-asserted-by":"publisher","first-page":"1118","DOI":"10.1073\/pnas.0706851105","volume":"105","author":"M Rosvall","year":"2008","unstructured":"Rosvall M, Bergstrom CT (2008) Maps of random walks on complex networks reveal community structure. Proc Natl Acad Sci 105(4):1118\u20131123. https:\/\/doi.org\/10.1073\/pnas.0706851105","journal-title":"Proc Natl Acad Sci"},{"key":"1115_CR51","doi-asserted-by":"publisher","unstructured":"Rozemberczki B, Kiss O, Sarkar R (2020) Karate club: An API oriented open-source python framework for unsupervised learning on graphs. In: Proceedings of the 29th ACM international conference on information and knowledge management. https:\/\/doi.org\/10.1145\/3340531.3412757","DOI":"10.1145\/3340531.3412757"},{"issue":"9","key":"1115_CR52","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1145\/3434642","volume":"64","author":"S Sakr","year":"2021","unstructured":"Sakr S, Bonifati A, Voigt H, Iosup A, Ammar K, Angles R, Aref W, Arenas M, Besta M, Boncz PA, Daudjee K, Valle ED, Dumbrava S, Hartig O, Haslhofer B, Hegeman T, Hidders J, Hose K, Iamnitchi A, Kalavri V, Kapp H, Martens W, \u00d6zsu MT, Peukert E, Plantikow S, Ragab M, Ripeanu MR, Salihoglu S, Schulz C, Selmer P, Sequeda JF, Shinavier J, Sz\u00e1rnyas G, Tommasini R, Tumeo A, Uta A, Varbanescu AL, Wu H-Y, Yakovets N, Yan D, Yoneki E (2021) The future is big graphs: a community view on graph processing systems. Commun ACM 64(9):62\u201371. https:\/\/doi.org\/10.1145\/3434642","journal-title":"Commun ACM"},{"issue":"2","key":"1115_CR53","doi-asserted-by":"publisher","DOI":"10.1103\/physreve.75.027105","volume":"75","author":"J Saram\u00e4ki","year":"2007","unstructured":"Saram\u00e4ki J, Kivel\u00e4 M, Onnela J-P, Kaski K, Kertesz J (2007) Generalizations of the clustering coefficient to weighted complex networks. Phys Rev E 75(2):027105. https:\/\/doi.org\/10.1103\/physreve.75.027105","journal-title":"Phys Rev E"},{"issue":"1","key":"1115_CR54","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.cosrev.2007.05.001","volume":"1","author":"SE Schaeffer","year":"2007","unstructured":"Schaeffer SE (2007) Graph clustering. Comput Sci Rev 1(1):27\u201364. https:\/\/doi.org\/10.1016\/j.cosrev.2007.05.001","journal-title":"Comput Sci Rev"},{"issue":"3","key":"1115_CR55","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1017\/nws.2014.22","volume":"2","author":"N Slater","year":"2014","unstructured":"Slater N, Itzchack R, Louzoun Y (2014) Mid size cliques are more common in real world networks than triangles. Netw Sci 2(3):387\u2013402. https:\/\/doi.org\/10.1017\/nws.2014.22","journal-title":"Netw Sci"},{"issue":"1","key":"1115_CR56","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1080\/03081079.2020.1863394","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 J Gen Syst 50(1):63\u201391","journal-title":"Int J Gen Syst"},{"key":"1115_CR57","doi-asserted-by":"publisher","unstructured":"Sozio M, Gionis A (2010) The community-search problem and how to plan a successful cocktail party. In: Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining. KDD \u201910. Association for Computing Machinery, New York, NY, USA, pp 939\u2013948. https:\/\/doi.org\/10.1145\/1835804.1835923","DOI":"10.1145\/1835804.1835923"},{"key":"1115_CR58","doi-asserted-by":"crossref","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 1\u201321 (2022)","DOI":"10.1109\/TNNLS.2021.3137396"},{"key":"1115_CR59","doi-asserted-by":"publisher","unstructured":"Su X, Xue S, Liu F, Wu J, Yang J, Zhou C, Hu W, Paris C, Nepal S, Jin D, Sheng Q, Yu P (2022) A comprehensive survey on community detection with deep learning. IEEE Trans Neural Netw Learn Syst 1\u201321. https:\/\/doi.org\/10.1109\/TNNLS.2021.3137396","DOI":"10.1109\/TNNLS.2021.3137396"},{"key":"1115_CR60","doi-asserted-by":"crossref","unstructured":"Takaffoli M, Rabbany R, Zaiane OR (2013) Incremental local community identification in dynamic social networks. In: IEEE\/ACM international conference on social networks analysis and mining","DOI":"10.1145\/2492517.2492633"},{"issue":"1","key":"1115_CR61","doi-asserted-by":"publisher","first-page":"5233","DOI":"10.1038\/s41598-019-41695-z","volume":"9","author":"VA Traag","year":"2019","unstructured":"Traag VA, Waltman L, van Eck NJ (2019) From Louvain to Leiden: guaranteeing well-connected communities. Sci Rep 9(1):5233. https:\/\/doi.org\/10.1038\/s41598-019-41695-z","journal-title":"Sci Rep"},{"key":"1115_CR62","doi-asserted-by":"publisher","unstructured":"Xu X, Yuruk N, Feng Z, Schweiger TAJ (2007) SCAN: A structural clustering algorithm for networks. In: Proceedings of the 13th ACM SIGKDD international conference on knowledge discovery and data mining. KDD \u201907. Association for Computing Machinery, New York, NY, USA, pp 824\u2013833. https:\/\/doi.org\/10.1145\/1281192.1281280","DOI":"10.1145\/1281192.1281280"},{"issue":"1","key":"1115_CR63","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1007\/s10115-013-0693-z","volume":"42","author":"J Yang","year":"2013","unstructured":"Yang J, Leskovec J (2013) Defining and evaluating network communities based on ground-truth. Knowl Inf Syst 42(1):181\u2013213. https:\/\/doi.org\/10.1007\/s10115-013-0693-z","journal-title":"Knowl Inf Syst"},{"issue":"1","key":"1115_CR64","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/srep30750","volume":"6","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 6(1):1\u201318. https:\/\/doi.org\/10.1038\/srep30750","journal-title":"Sci Rep"},{"key":"1115_CR65","doi-asserted-by":"publisher","unstructured":"Yin H, Benson AR, Leskovec J, Gleich DF (2017) Local higher-order graph clustering. In: Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining. KDD \u201917. Association for Computing Machinery, New York, NY, USA, pp 555\u2013564. https:\/\/doi.org\/10.1145\/3097983.3098069","DOI":"10.1145\/3097983.3098069"},{"issue":"4","key":"1115_CR66","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1086\/jar.33.4.3629752","volume":"33","author":"WW Zachary","year":"1977","unstructured":"Zachary WW (1977) An information flow model for conflict and fission in small groups. J Anthropol Res 33(4):452\u2013473. https:\/\/doi.org\/10.1086\/jar.33.4.3629752","journal-title":"J Anthropol Res"},{"key":"1115_CR67","doi-asserted-by":"publisher","first-page":"344","DOI":"10.1016\/j.ins.2017.07.012","volume":"417","author":"Z Zheng","year":"2017","unstructured":"Zheng Z, Ye F, Li R-H, Ling G, Jin T (2017) Finding weighted k-truss communities in large networks. Inf Sci 417:344\u2013360. https:\/\/doi.org\/10.1016\/j.ins.2017.07.012","journal-title":"Inf Sci"}],"container-title":["Social Network Analysis and Mining"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13278-023-01115-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13278-023-01115-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13278-023-01115-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,14]],"date-time":"2023-12-14T21:05:48Z","timestamp":1702587948000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13278-023-01115-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,4]]},"references-count":67,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,12]]}},"alternative-id":["1115"],"URL":"https:\/\/doi.org\/10.1007\/s13278-023-01115-7","relation":{},"ISSN":["1869-5469"],"issn-type":[{"value":"1869-5469","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,4]]},"assertion":[{"value":"30 June 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 August 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 August 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 September 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}],"article-number":"112"}}