{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T03:30:25Z","timestamp":1775446225303,"version":"3.50.1"},"reference-count":96,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2019,2,20]],"date-time":"2019-02-20T00:00:00Z","timestamp":1550620800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput & Applic"],"published-print":{"date-parts":[[2020,4]]},"DOI":"10.1007\/s00521-019-04064-5","type":"journal-article","created":{"date-parts":[[2019,2,20]],"date-time":"2019-02-20T08:46:49Z","timestamp":1550652409000},"page":"3203-3220","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":32,"title":["Community detection in attributed networks considering both structural and attribute similarities: two mathematical programming approaches"],"prefix":"10.1007","volume":"32","author":[{"given":"Esmaeil","family":"Alinezhad","sequence":"first","affiliation":[]},{"given":"Babak","family":"Teimourpour","sequence":"additional","affiliation":[]},{"given":"Mohammad Mehdi","family":"Sepehri","sequence":"additional","affiliation":[]},{"given":"Mehrdad","family":"Kargari","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,2,20]]},"reference":[{"key":"4064_CR1","doi-asserted-by":"crossref","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","journal-title":"Phys Rep"},{"key":"4064_CR2","doi-asserted-by":"crossref","first-page":"2278","DOI":"10.1016\/j.physa.2013.01.031","volume":"392","author":"MG Beir\u00f3","year":"2013","unstructured":"Beir\u00f3 MG, Busch JR, Grynberg SP, Alvarez-Hamelin JI (2013) Obtaining communities with a fitness growth process. Physica A 392:2278\u20132293","journal-title":"Physica A"},{"key":"4064_CR3","doi-asserted-by":"crossref","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 486:75\u2013174","journal-title":"Phys Rep"},{"key":"4064_CR4","doi-asserted-by":"crossref","first-page":"7821","DOI":"10.1073\/pnas.122653799","volume":"99","author":"M Girvan","year":"2002","unstructured":"Girvan M, Newman ME (2002) Community structure in social and biological networks. Proc Natl Acad Sci 99:7821\u20137826","journal-title":"Proc Natl Acad Sci"},{"key":"4064_CR5","doi-asserted-by":"crossref","first-page":"052315","DOI":"10.1103\/PhysRevE.94.052315","volume":"94","author":"MEJ Newman","year":"2016","unstructured":"Newman MEJ (2016) Equivalence between modularity optimization and maximum likelihood methods for community detection. Phys Rev E 94:052315","journal-title":"Phys Rev E"},{"key":"4064_CR6","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1140\/epjb\/e2007-00331-0","volume":"60","author":"G Xu","year":"2007","unstructured":"Xu G, Tsoka S, Papageorgiou LG (2007) Finding community structures in complex networks using mixed integer optimisation. Eur Phys J B 60:231\u2013239","journal-title":"Eur Phys J B"},{"key":"4064_CR7","doi-asserted-by":"crossref","first-page":"062805","DOI":"10.1103\/PhysRevE.90.062805","volume":"90","author":"D Hric","year":"2014","unstructured":"Hric D, Darst RK, Fortunato S (2014) Community detection in networks: structural communities versus ground truth. Phys Rev E 90:062805","journal-title":"Phys Rev E"},{"key":"4064_CR8","first-page":"539","volume-title":"Advances in neural information processing systems","author":"J Leskovec","year":"2012","unstructured":"Leskovec J, Mcauley JJ (2012) Learning to discover social circles in ego networks. In: Pereira F, Burges CJC, Bottou L, Weinberger KQ (eds) Advances in neural information processing systems. Curran Associates Inc, New York, pp 539\u2013547"},{"key":"4064_CR9","doi-asserted-by":"crossref","first-page":"3153","DOI":"10.1214\/16-EJS1206","volume":"10","author":"Y Zhang","year":"2016","unstructured":"Zhang Y, Levina E, Zhu J (2016) Community detection in networks with node features. Electron J Stat 10:3153\u20133178","journal-title":"Electron J Stat"},{"key":"4064_CR10","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1016\/j.knosys.2013.08.003","volume":"52","author":"Y Li","year":"2013","unstructured":"Li Y, Wang H, Li J, Gao H (2013) Efficient community detection with additive constrains on large networks. Knowl Based Syst 52:268\u2013278","journal-title":"Knowl Based Syst"},{"key":"4064_CR11","doi-asserted-by":"crossref","first-page":"648","DOI":"10.1016\/j.ins.2012.08.001","volume":"222","author":"P Meo De","year":"2013","unstructured":"De Meo P, Ferrara E, Fiumara G, Provetti A (2013) Enhancing community detection using a network weighting strategy. Inf Sci 222:648\u2013668","journal-title":"Inf Sci"},{"key":"4064_CR12","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1016\/j.eswa.2017.05.010","volume":"84","author":"L Duan","year":"2017","unstructured":"Duan L, Liu Y, Nick Street W, Lu H (2017) Utilizing advances in correlation analysis for community structure detection. Expert Syst Appl 84:74\u201391","journal-title":"Expert Syst Appl"},{"key":"4064_CR13","doi-asserted-by":"crossref","first-page":"141","DOI":"10.1016\/j.disopt.2017.03.002","volume":"25","author":"A Costa","year":"2017","unstructured":"Costa A, Ng TS, Foo LX (2017) Complete mixed integer linear programming formulations for modularity density based clustering. Discrete Optim 25:141\u2013158","journal-title":"Discrete Optim"},{"key":"4064_CR14","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.eswa.2016.12.039","volume":"74","author":"R Francisquini","year":"2017","unstructured":"Francisquini R, Rosset V, Nascimento MCV (2017) GA-LP: a genetic algorithm based on label propagation to detect communities in directed networks. Expert Syst Appl 74:127\u2013138","journal-title":"Expert Syst Appl"},{"key":"4064_CR15","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1016\/j.neucom.2017.05.029","volume":"266","author":"M Guerrero","year":"2017","unstructured":"Guerrero M, Montoya FG, Ba\u00f1os R et al (2017) Adaptive community detection in complex networks using genetic algorithms. Neurocomputing 266:101\u2013113","journal-title":"Neurocomputing"},{"key":"4064_CR16","doi-asserted-by":"crossref","first-page":"874","DOI":"10.1016\/j.ins.2016.07.024","volume":"367","author":"Z Li","year":"2016","unstructured":"Li Z, Wang R-S, Zhang S, Zhang X-S (2016) Quantitative function and algorithm for community detection in bipartite networks. Inf Sci 367:874\u2013889","journal-title":"Inf Sci"},{"key":"4064_CR17","doi-asserted-by":"crossref","first-page":"e1602548","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:e1602548","journal-title":"Sci Adv"},{"key":"4064_CR18","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1016\/j.ress.2017.02.004","volume":"163","author":"CM Rocco","year":"2017","unstructured":"Rocco CM, Moronta J, Ramirez-Marquez JE, Barker K (2017) Effects of multi-state links in network community detection. Reliab Eng Syst Saf 163:46\u201356","journal-title":"Reliab Eng Syst Saf"},{"key":"4064_CR19","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1109\/TPDS.2015.2390633","volume":"27","author":"CL Staudt","year":"2016","unstructured":"Staudt CL, Meyerhenke H (2016) Engineering parallel algorithms for community detection in massive networks. IEEE Trans Parallel Distrib Syst 27:171\u2013184","journal-title":"IEEE Trans Parallel Distrib Syst"},{"issue":"9","key":"4064_CR20","doi-asserted-by":"crossref","first-page":"2907","DOI":"10.1007\/s00521-017-2884-0","volume":"30","author":"KR \u017dalik","year":"2018","unstructured":"\u017dalik KR, \u017dalik B (2018) Multi-objective evolutionary algorithm using problem-specific genetic operators for community detection in networks. Neural Comput Appl 30(9):2907\u20132920","journal-title":"Neural Comput Appl"},{"key":"4064_CR21","doi-asserted-by":"crossref","first-page":"515","DOI":"10.1007\/s10618-011-0224-z","volume":"24","author":"S Papadopoulos","year":"2012","unstructured":"Papadopoulos S, Kompatsiaris Y, Vakali A, Spyridonos P (2012) Community detection in social media. Data Min Knowl Disc 24:515\u2013554","journal-title":"Data Min Knowl Disc"},{"key":"4064_CR22","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1007\/978-1-4419-7142-5_16","volume-title":"Handbook of social network technologies and applications","author":"B Yang","year":"2010","unstructured":"Yang B, Liu D, Liu J (2010) Discovering communities from social networks: methodologies and applications. In: Furht B (ed) Handbook of social network technologies and applications. Springer, New York, pp 331\u2013346"},{"key":"4064_CR23","doi-asserted-by":"crossref","first-page":"568","DOI":"10.1016\/j.chb.2017.04.001","volume":"73","author":"PV Bindu","year":"2017","unstructured":"Bindu PV, Thilagam PS, Ahuja D (2017) Discovering suspicious behavior in multilayer social networks. Comput Hum Behav 73:568\u2013582","journal-title":"Comput Hum Behav"},{"key":"4064_CR24","doi-asserted-by":"crossref","unstructured":"Interdonato R, Tagarelli A, Ienco D et al (2017) Node-centric community detection in multilayer networks with layer-coverage diversification bias. In: Gon\u00e7alves B, Menezes R, Sinatra R, Zlatic V (eds) Complex networks VIII. CompleNet 2017. Springer proceedings in complexity. Springer, Cham, pp 57\u201366","DOI":"10.1007\/978-3-319-54241-6_5"},{"key":"4064_CR25","doi-asserted-by":"crossref","unstructured":"Interdonato R, Tagarelli A, Ienco D et al (2016) Local community detection in multilayer networks. In: 2016 IEEE\/ACM international conference on advances in social networks analysis and mining (ASONAM), pp 1382\u20131383","DOI":"10.1109\/ASONAM.2016.7752422"},{"key":"4064_CR26","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1017\/nws.2016.22","volume":"5","author":"LGS Jeub","year":"2017","unstructured":"Jeub LGS, Mahoney MW, Mucha PJ, Porter MA (2017) A local perspective on community structure in multilayer networks. Netw Sci 5:144\u2013163","journal-title":"Netw Sci"},{"key":"4064_CR27","first-page":"011036","volume":"6","author":"T Vall\u00e8s-Catal\u00e0","year":"2016","unstructured":"Vall\u00e8s-Catal\u00e0 T, Massucci FA, Guimer\u00e0 R, Sales-Pardo M (2016) Multilayer stochastic block models reveal the multilayer structure of complex networks. Phys Rev X 6:011036","journal-title":"Phys Rev X"},{"key":"4064_CR28","doi-asserted-by":"crossref","first-page":"240","DOI":"10.1016\/j.physa.2015.12.133","volume":"449","author":"Y Chen","year":"2016","unstructured":"Chen Y, Wang X, Bu J et al (2016) Network structure exploration in networks with node attributes. Physica A 449:240\u2013253","journal-title":"Physica A"},{"key":"4064_CR29","doi-asserted-by":"crossref","unstructured":"Du H, Sun H, Huang J et al (2017) Mining cohesive clusters with interpretations in labeled graphs. In: Kim J, Shim K, Cao L, Lee J-G, Lin X, Moon Y-S (eds) Advances in knowledge discovery and data mining. Springer, Cham, pp 774\u2013785","DOI":"10.1007\/978-3-319-57529-2_60"},{"key":"4064_CR30","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1016\/j.asoc.2016.01.036","volume":"42","author":"H Gibson","year":"2016","unstructured":"Gibson H, Vickers P (2016) Using adjacency matrices to lay out larger small-world networks. Appl Soft Comput 42:80\u201392","journal-title":"Appl Soft Comput"},{"key":"4064_CR31","doi-asserted-by":"crossref","first-page":"2626","DOI":"10.1038\/s41598-017-02751-8","volume":"7","author":"C Jia","year":"2017","unstructured":"Jia C, Li Y, Carson MB et al (2017) Node attribute-enhanced community detection in complex networks. Sci Rep 7:2626","journal-title":"Sci Rep"},{"key":"4064_CR32","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.engappai.2017.03.007","volume":"62","author":"A Reihanian","year":"2017","unstructured":"Reihanian A, Feizi-Derakhshi M-R, Aghdasi HS (2017) Community detection in social networks with node attributes based on multi-objective biogeography based optimization. Eng Appl Artif Intell 62:51\u201367","journal-title":"Eng Appl Artif Intell"},{"key":"4064_CR33","unstructured":"Levchuk G, Roberts J, Freeman J (2012) Learning and detecting patterns in multi-attributed network data. In: AAAI fall symposium: social networks and social contagion"},{"key":"4064_CR34","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.patcog.2016.07.043","volume":"61","author":"SF Mousavi","year":"2017","unstructured":"Mousavi SF, Safayani M, Mirzaei A, Bahonar H (2017) Hierarchical graph embedding in vector space by graph pyramid. Pattern Recogn 61:245\u2013254","journal-title":"Pattern Recogn"},{"key":"4064_CR35","doi-asserted-by":"crossref","unstructured":"Papadopoulos A, Pallis G, Dikaiakos MD (2013) Identifying clusters with attribute homogeneity and similar connectivity in information networks. In: IEEE, pp 343\u2013350","DOI":"10.1109\/WI-IAT.2013.49"},{"key":"4064_CR36","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1017\/nws.2015.9","volume":"3","author":"C Bothorel","year":"2015","unstructured":"Bothorel C, Cruz JD, Magnani M, Micenkova B (2015) Clustering attributed graphs: models, measures and methods. Netw Sci 3:408\u2013444","journal-title":"Netw Sci"},{"key":"4064_CR37","doi-asserted-by":"crossref","first-page":"413","DOI":"10.1016\/j.patrec.2009.11.001","volume":"31","author":"K Steinhaeuser","year":"2010","unstructured":"Steinhaeuser K, Chawla NV (2010) Identifying and evaluating community structure in complex networks. Pattern Recogn Lett 31:413\u2013421","journal-title":"Pattern Recogn Lett"},{"key":"4064_CR38","unstructured":"Neville J, Adler M, Jensen D (2003) Clustering relational data using attribute and link information. In: Proceedings of the text mining and link analysis workshop, 18th international joint conference on artificial intelligence, pp 9\u201315"},{"key":"4064_CR39","unstructured":"Falih I, Grozavu N, Kanawati R, Bennani Y (2017) ANCA: attributed network clustering algorithm. In: Cherifi C, Cherifi H, Karsai M, Musolesi M (eds) Complex networks and their applications VI. Springer, Cham, pp 241\u2013252"},{"key":"4064_CR40","doi-asserted-by":"crossref","unstructured":"Combe D, Largeron C, Egyed-Zsigmond E, G\u00e9ry M (2012) Combining relations and text in scientific network clustering. In: 2012 IEEE\/ACM international conference on advances in social networks analysis and mining (ASONAM). IEEE, pp 1248\u20131253","DOI":"10.1109\/ASONAM.2012.215"},{"key":"4064_CR41","doi-asserted-by":"crossref","first-page":"12:1","DOI":"10.1145\/1921632.1921638","volume":"5","author":"H Cheng","year":"2011","unstructured":"Cheng H, Zhou Y, Yu JX (2011) Clustering large attributed graphs: a balance between structural and attribute similarities. Acm Trans Knowl Discov Data 5:12:1\u201312:33","journal-title":"Acm Trans Knowl Discov Data"},{"key":"4064_CR42","doi-asserted-by":"crossref","first-page":"718","DOI":"10.14778\/1687627.1687709","volume":"2","author":"Y Zhou","year":"2009","unstructured":"Zhou Y, Cheng H, Yu JX (2009) Graph clustering based on structural\/attribute similarities. Proc VLDB Endow 2:718\u2013729","journal-title":"Proc VLDB Endow"},{"key":"4064_CR43","doi-asserted-by":"crossref","unstructured":"Balasubramanyan R, Cohen W (2011) Block-LDA: jointly modeling entity-annotated text and entity-entity links. In: Proceedings of the 2011 SIAM international conference on data mining. Society for Industrial and Applied Mathematics, pp 450\u2013461","DOI":"10.1137\/1.9781611972818.39"},{"key":"4064_CR44","doi-asserted-by":"crossref","unstructured":"Xu Z, Ke Y, Wang Y et al (2012) A model-based approach to attributed graph clustering. In: Proceedings of the 2012 ACM SIGMOD international conference on management of data. ACM, pp 505\u2013516","DOI":"10.1145\/2213836.2213894"},{"key":"4064_CR45","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1007\/s10115-017-1030-8","volume":"53","author":"Z Xu","year":"2017","unstructured":"Xu Z, Cheng J, Xiao X et al (2017) Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering. Knowl Inf Syst 53:239\u2013268","journal-title":"Knowl Inf Syst"},{"key":"4064_CR46","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.knosys.2017.10.007","volume":"139","author":"P Wu","year":"2018","unstructured":"Wu P, Pan L (2018) Mining application-aware community organization with expanded feature subspaces from concerned attributes in social networks. Knowl Based Syst 139:1\u201312","journal-title":"Knowl Based Syst"},{"key":"4064_CR47","doi-asserted-by":"crossref","unstructured":"Martinez-Seis B (2017) RELNA: ranking attributes in social networks to detect overlapping communities efficiently. In: IEEE, pp 1431\u20131435","DOI":"10.1109\/ICDE.2017.206"},{"key":"4064_CR48","doi-asserted-by":"crossref","unstructured":"G\u00fcnnemann S, Boden B, F\u00e4rber I, Seidl T (2013) Efficient mining of combined subspace and subgraph clusters in graphs with feature vectors. In: Advances in knowledge discovery and data mining. Springer, pp 261\u2013275","DOI":"10.1007\/978-3-642-37453-1_22"},{"key":"4064_CR49","unstructured":"Dang TA, Viennet E (2012) Community detection based on structural and attribute similarities. In: International conference on digital society (ICDS), pp 7\u201312"},{"key":"4064_CR50","doi-asserted-by":"crossref","first-page":"P10008","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:P10008","journal-title":"J Stat Mech Theory Exp"},{"key":"4064_CR51","doi-asserted-by":"crossref","unstructured":"Ruan Y, Fuhry D, Parthasarathy S (2013) Efficient community detection in large networks using content and links. In: Proceedings of the 22nd international conference on World Wide Web. International World Wide Web conferences steering committee, pp 1089\u20131098","DOI":"10.1145\/2488388.2488483"},{"key":"4064_CR52","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1016\/j.jocs.2018.01.004","volume":"25","author":"M Sattari","year":"2018","unstructured":"Sattari M, Zamanifar K (2018) A cascade information diffusion based label propagation algorithm for community detection in dynamic social networks. J Comput Sci 25:122\u2013133","journal-title":"J Comput Sci"},{"key":"4064_CR53","first-page":"28","volume":"5","author":"S Pool","year":"2014","unstructured":"Pool S, Bonchi F, van Leeuwen M (2014) Description-driven community detection. ACM Trans Intell Syst Technol TIST 5:28","journal-title":"ACM Trans Intell Syst Technol TIST"},{"key":"4064_CR54","doi-asserted-by":"crossref","first-page":"965","DOI":"10.1016\/j.ins.2015.05.008","volume":"329","author":"M Atzmueller","year":"2016","unstructured":"Atzmueller M, Doerfel S, Mitzlaff F (2016) Description-oriented community detection using exhaustive subgroup discovery. Inf Sci 329:965\u2013984","journal-title":"Inf Sci"},{"key":"4064_CR55","first-page":"675","volume-title":"Adaptive community detection incorporating topology and content in social networks","author":"M Qin","year":"2017","unstructured":"Qin M, Jin D, He D et al (2017) Adaptive community detection incorporating topology and content in social networks. ACM Press, New York, pp 675\u2013682"},{"key":"4064_CR56","doi-asserted-by":"crossref","first-page":"2507","DOI":"10.1587\/transfun.E100.A.2507","volume":"E100.A","author":"Z Li","year":"2017","unstructured":"Li Z, Pan Z, Hu G et al (2017) Detecting semantic communities in social networks. IEICE Trans Fundam Electron Commun Comput Sci E100.A:2507\u20132512","journal-title":"IEICE Trans Fundam Electron Commun Comput Sci"},{"key":"4064_CR57","doi-asserted-by":"crossref","unstructured":"Wang X, Jin D, Cao X et al (2016) Semantic community identification in large attribute networks. In: AAAI, pp 265\u2013271","DOI":"10.1609\/aaai.v30i1.9977"},{"key":"4064_CR58","doi-asserted-by":"crossref","unstructured":"Yang T, Jin R, Chi Y, Zhu S (2009) Combining link and content for community detection: a discriminative approach. In: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, pp 927\u2013936","DOI":"10.1145\/1557019.1557120"},{"key":"4064_CR59","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1186\/1748-7188-5-36","volume":"5","author":"G Xu","year":"2010","unstructured":"Xu G, Bennett L, Papageorgiou LG, Tsoka S (2010) Module detection in complex networks using integer optimisation. Algorithms Mol Biol 5:36","journal-title":"Algorithms Mol Biol"},{"key":"4064_CR60","doi-asserted-by":"crossref","unstructured":"Bennett L, Liu S, Papageorgiou LG, Tsoka S (2012) A mathematical programming approach to community structure detection in complex networks. In: Proceedings of the 22nd European symposium on computer aided process engineering, pp 1387\u20131391","DOI":"10.1016\/B978-0-444-59520-1.50136-6"},{"key":"4064_CR61","doi-asserted-by":"crossref","first-page":"1150023","DOI":"10.1142\/S0219525911500238","volume":"15","author":"L Bennett","year":"2012","unstructured":"Bennett L, Liu S, Papageorgiou LG, Tsoka S (2012) Detection of disjoint and overlapping modules in weighted complex networks. Adv Complex Syst 15:1150023","journal-title":"Adv Complex Syst"},{"key":"4064_CR62","first-page":"319","volume":"24","author":"T Lastusilta","year":"2011","unstructured":"Lastusilta T, Papageorgiou LG, Westerlund T (2011) A comparative study of solving the problem of module identification in a complex network. Chem Eng 24:319","journal-title":"Chem Eng"},{"key":"4064_CR63","doi-asserted-by":"crossref","first-page":"409","DOI":"10.1140\/epjb\/e2008-00425-1","volume":"66","author":"G Agarwal","year":"2008","unstructured":"Agarwal G, Kempe D (2008) Modularity-maximizing graph communities via mathematical programming. Eur Phys J B 66:409\u2013418","journal-title":"Eur Phys J B"},{"key":"4064_CR64","doi-asserted-by":"crossref","first-page":"3121","DOI":"10.1016\/j.cor.2013.03.002","volume":"40","author":"MCV Nascimento","year":"2013","unstructured":"Nascimento MCV, Pitsoulis L (2013) Community detection by modularity maximization using GRASP with path relinking. Comput Oper Res 40:3121\u20133131","journal-title":"Comput Oper Res"},{"key":"4064_CR65","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.ins.2012.12.038","volume":"229","author":"W Li","year":"2013","unstructured":"Li W (2013) Revealing network communities with a nonlinear programming method. Inf Sci 229:18\u201328","journal-title":"Inf Sci"},{"key":"4064_CR66","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1007\/s11424-015-2169-6","volume":"28","author":"A Bettinelli","year":"2015","unstructured":"Bettinelli A, Hansen P, Liberti L (2015) Community detection with the weighted parsimony criterion. J Syst Sci Complex 28:517\u2013545","journal-title":"J Syst Sci Complex"},{"key":"4064_CR67","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1109\/TKDE.2007.190689","volume":"20","author":"U Brandes","year":"2008","unstructured":"Brandes U, Delling D, Gaertler M et al (2008) On modularity clustering. IEEE Trans Knowl Data Eng 20:172\u2013188","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"4064_CR68","doi-asserted-by":"crossref","unstructured":"Brandes U, Delling D, Gaertler M et al (2007) On finding graph clusterings with maximum modularity. In: International workshop on graph-theoretic concepts in computer science. Springer, pp 121\u2013132","DOI":"10.1007\/978-3-540-74839-7_12"},{"key":"4064_CR69","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1007\/s11786-007-0035-1","volume":"1","author":"WYC Chen","year":"2008","unstructured":"Chen WYC, Dress AWM, Yu WQ (2008) Community structures of networks. Math Comput Sci 1:441\u2013457","journal-title":"Math Comput Sci"},{"key":"4064_CR70","first-page":"1","volume-title":"Social networks: a framework of computational intelligence","author":"WYC Chen","year":"2014","unstructured":"Chen WYC, Dress A, Yu WQ (2014) detecting community structures in networks using a linear-programming based approach: a review. In: Pedrycz W, Chen S-M (eds) Social networks: a framework of computational intelligence. Springer, Cham, pp 1\u201319"},{"key":"4064_CR71","doi-asserted-by":"crossref","unstructured":"Dinh TN, Li X, Thai MT (2015) Network clustering via maximizing modularity: approximation algorithms and theoretical limits. In: 2015 IEEE international conference on data mining (ICDM). IEEE, pp 101\u2013110","DOI":"10.1109\/ICDM.2015.139"},{"key":"4064_CR72","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1016\/j.ins.2014.12.009","volume":"299","author":"C-C Lin","year":"2015","unstructured":"Lin C-C, Kang J-R, Chen J-Y (2015) An integer programming approach and visual analysis for detecting hierarchical community structures in social networks. Inf Sci 299:296\u2013311","journal-title":"Inf Sci"},{"key":"4064_CR73","doi-asserted-by":"crossref","first-page":"421","DOI":"10.4236\/ajor.2015.55035","volume":"05","author":"Z Li","year":"2015","unstructured":"Li Z, Zhang S, Zhang X (2015) Mathematical model and algorithm for link community detection in bipartite networks. Am J Operations Res 05:421\u2013434","journal-title":"Am J Operations Res"},{"key":"4064_CR74","doi-asserted-by":"crossref","first-page":"e83739","DOI":"10.1371\/journal.pone.0083739","volume":"8","author":"Z Li","year":"2013","unstructured":"Li Z, Zhang X-S, Wang R-S et al (2013) Discovering link communities in complex networks by an integer programming model and a genetic algorithm. PLoS ONE 8:e83739","journal-title":"PLoS ONE"},{"key":"4064_CR75","doi-asserted-by":"crossref","unstructured":"Zhu Y, Sun C, Li D et al (2015) Searching graph communities by modularity maximization via convex optimization. In: Combinatorial optimization and applications. Springer, Cham, pp 701\u2013708","DOI":"10.1007\/978-3-319-26626-8_51"},{"key":"4064_CR76","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1109\/TETC.2014.2380391","volume":"2","author":"Y Zhu","year":"2014","unstructured":"Zhu Y, Li D, Xu W et al (2014) Mutual-relationship-based community partitioning for social networks. IEEE Trans Emerg Top Comput 2:436\u2013447","journal-title":"IEEE Trans Emerg Top Comput"},{"key":"4064_CR77","first-page":"60","volume":"4","author":"RM Alguliev","year":"2013","unstructured":"Alguliev RM, Aliguliyev RM, Ganjaliyev FS (2013) Partition clustering-based method for detecting community structures in weighted social networks. Int J Inf Process Manag 4:60\u201372","journal-title":"Int J Inf Process Manag"},{"key":"4064_CR78","doi-asserted-by":"crossref","unstructured":"Bredin H, Poignant J (2013) Integer linear programming for speaker diarization and cross-modal identification in tv broadcast. In: The 14rd annual conference of the international speech communication association, INTERSPEECH","DOI":"10.21437\/Interspeech.2013-381"},{"key":"4064_CR79","doi-asserted-by":"crossref","first-page":"639","DOI":"10.1016\/j.socnet.2013.09.002","volume":"35","author":"R Figueiredo","year":"2013","unstructured":"Figueiredo R, Moura G (2013) Mixed integer programming formulations for clustering problems related to structural balance. Soc Netw 35:639\u2013651","journal-title":"Soc Netw"},{"key":"4064_CR80","doi-asserted-by":"crossref","first-page":"3177","DOI":"10.1002\/aic.15323","volume":"62","author":"S Heo","year":"2016","unstructured":"Heo S, Daoutidis P (2016) Control-relevant decomposition of process networks via optimization-based hierarchical clustering. AIChE J 62:3177\u20133188","journal-title":"AIChE J"},{"key":"4064_CR81","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1007\/s13675-017-0082-6","volume":"5","author":"M Levorato","year":"2017","unstructured":"Levorato M, Figueiredo R, Frota Y, Drummond L (2017) Evaluating balancing on social networks through the efficient solution of correlation clustering problems. EURO J Comput Optim 5:467\u2013498","journal-title":"EURO J Comput Optim"},{"key":"4064_CR82","doi-asserted-by":"crossref","unstructured":"Bhimani J, Mi N, Leeser M, Yang Z (2017) FiM: performance prediction for parallel computation in iterative data processing applications. In: 2017 IEEE 10th international conference on cloud computing (CLOUD). IEEE, pp 359\u2013366","DOI":"10.1109\/CLOUD.2017.53"},{"issue":"3","key":"4064_CR83","doi-asserted-by":"crossref","first-page":"1561","DOI":"10.1007\/s10586-018-2141-z","volume":"21","author":"Z Yang","year":"2018","unstructured":"Yang Z, Wang Y, Bhamini J et al (2018) EAD: elasticity aware deduplication manager for datacenters with multi-tier storage systems. Clust Comput 21(3):1561\u20131579","journal-title":"Clust Comput"},{"key":"4064_CR84","doi-asserted-by":"crossref","unstructured":"Bhimani J, Yang Z, Leeser M, Mi N (2017) Accelerating big data applications using lightweight virtualization framework on enterprise cloud. In: 2017 IEEE high performance extreme computing conference (HPEC). IEEE, pp 1\u20137","DOI":"10.1109\/HPEC.2017.8091086"},{"issue":"3","key":"4064_CR85","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1109\/TMSCS.2018.2801281","volume":"4","author":"J Bhimani","year":"2018","unstructured":"Bhimani J, Yang Z, Mi N et al (2018) Docker container scheduler for I\/O intensive applications running on NVMe SSDs. IEEE Trans Multi Scale Comput Syst 4(3):313\u2013326","journal-title":"IEEE Trans Multi Scale Comput Syst"},{"key":"4064_CR86","doi-asserted-by":"crossref","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 33:452\u2013473","journal-title":"J Anthropol Res"},{"key":"4064_CR87","doi-asserted-by":"crossref","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 B Biol Sci 270:S186\u2013S188","journal-title":"Proc R Soc Lond B Biol Sci"},{"key":"4064_CR88","unstructured":"Craven M, DiPasquo D, Freitag D et al (1998) Learning to extract symbolic knowledge from the World Wide Web. In: Proceedings of the fifteenth national\/tenth conference on artificial intelligence\/innovative applications of artificial intelligence. American Association for Artificial Intelligence, Menlo Park, pp 509\u2013516"},{"key":"4064_CR89","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s10618-011-0231-0","volume":"25","author":"L Tang","year":"2012","unstructured":"Tang L, Wang X, Liu H (2012) Community detection via heterogeneous interaction analysis. Data Min Knowl Disc 25:1\u201333","journal-title":"Data Min Knowl Disc"},{"key":"4064_CR90","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1080\/01621459.1971.10482356","volume":"66","author":"WM Rand","year":"1971","unstructured":"Rand WM (1971) Objective criteria for the evaluation of clustering methods. J Am Stat Assoc 66:846\u2013850","journal-title":"J Am Stat Assoc"},{"key":"4064_CR91","volume-title":"Data mining, fourth edition: practical machine learning tools and techniques","author":"IH Witten","year":"2005","unstructured":"Witten IH, Frank E (2005) Data mining, fourth edition: practical machine learning tools and techniques, 4th edn. Morgan Kaufmann, Amsterdam","edition":"4"},{"key":"4064_CR92","doi-asserted-by":"crossref","first-page":"464","DOI":"10.1109\/TEVC.2017.2737600","volume":"22","author":"C Pizzuti","year":"2017","unstructured":"Pizzuti C (2017) Evolutionary computation for community detection in networks: a review. IEEE Transact Evol Comput 22:464\u2013483","journal-title":"IEEE Transact Evol Comput"},{"key":"4064_CR93","doi-asserted-by":"crossref","first-page":"304","DOI":"10.1016\/j.ins.2016.11.028","volume":"381","author":"X Liu","year":"2017","unstructured":"Liu X, Wang W, He D et al (2017) Semi-supervised community detection based on non-negative matrix factorization with node popularity. Inf Sci 381:304\u2013321","journal-title":"Inf Sci"},{"key":"4064_CR94","unstructured":"McDaid AF, Greene D, Hurley N (2011) Normalized mutual information to evaluate overlapping community finding algorithms. arXiv:11102515"},{"key":"4064_CR95","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1002\/wics.1319","volume":"6","author":"S Harenberg","year":"2014","unstructured":"Harenberg S, Bello G, Gjeltema L et al (2014) Community detection in large-scale networks: a survey and empirical evaluation: community detection in large-scale networks. Wiley Interdiscip Rev Comput Stat 6:426\u2013439","journal-title":"Wiley Interdiscip Rev Comput Stat"},{"key":"4064_CR96","volume-title":"Introduction to data mining","author":"P-N Tan","year":"2006","unstructured":"Tan P-N, Steinbach M, Kumar V (2006) Introduction to data mining. Pearson Addison Wesley, Boston"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-019-04064-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-019-04064-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-019-04064-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T04:25:42Z","timestamp":1662956742000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-019-04064-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,20]]},"references-count":96,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2020,4]]}},"alternative-id":["4064"],"URL":"https:\/\/doi.org\/10.1007\/s00521-019-04064-5","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,2,20]]},"assertion":[{"value":"25 November 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 January 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 February 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}