{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T15:24:42Z","timestamp":1786980282556,"version":"3.56.0"},"reference-count":69,"publisher":"Springer Science and Business Media LLC","issue":"11-12","license":[{"start":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T00:00:00Z","timestamp":1709164800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T00:00:00Z","timestamp":1709164800000},"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":["Soft Comput"],"published-print":{"date-parts":[[2024,6]]},"DOI":"10.1007\/s00500-024-09648-5","type":"journal-article","created":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T07:02:22Z","timestamp":1709190142000},"page":"7251-7269","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["A novel intelligent Fuzzy-AHP based evolutionary algorithm for detecting communities in complex networks"],"prefix":"10.1007","volume":"28","author":[{"given":"Elmira","family":"Pourabbasi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2433-115X","authenticated-orcid":false,"given":"Vahid","family":"Majidnezhad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Najibeh Farzi","family":"Veijouyeh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Saeid","family":"Taghavi Afshord","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yasser","family":"jafari","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,2,29]]},"reference":[{"key":"9648_CR1","doi-asserted-by":"crossref","unstructured":"Abdelbary HA, Mohamed ElKorany A, Bahgat R (2014) Utilizing deep learning for content-based community detection. In 777\u201384. IEEE.","DOI":"10.1109\/SAI.2014.6918274"},{"issue":"8","key":"9648_CR2","doi-asserted-by":"publisher","first-page":"3203","DOI":"10.1007\/s00521-019-04064-5","volume":"32","author":"E Alinezhad","year":"2020","unstructured":"Alinezhad E, Teimourpour B, Sepehri MM, Kargari M (2020) Community detection in attributed networks considering both structural and attribute similarities: two mathematical programming approaches. Neural Comput Appl 32(8):3203\u20133220","journal-title":"Neural Comput Appl"},{"key":"9648_CR3","doi-asserted-by":"crossref","unstructured":"Amelio A, Pizzuti C (2015) Is normalized mutual information a fair measure for comparing community detection methods? In 1584\u201385","DOI":"10.1145\/2808797.2809344"},{"key":"9648_CR4","doi-asserted-by":"crossref","unstructured":"Baroni A, Conte A, Patrignani M, Ruggieri S (2017) Efficiently clustering very large attributed graphs. In 369\u201376. IEEE.","DOI":"10.1145\/3110025.3110030"},{"issue":"1","key":"9648_CR5","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1007\/s11227-019-03018-x","volume":"76","author":"A Bhih","year":"2020","unstructured":"Bhih A, Johnson P, Randles M (2020) An optimisation tool for robust community detection algorithms using content and topology information. J Supercomput 76(1):226\u2013254","journal-title":"J Supercomput"},{"issue":"November","key":"9648_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109856","volume":"256","author":"TK Biswas","year":"2022","unstructured":"Biswas TK, Abbasi A, Chakrabortty RK (2022) An improved clustering based multi-objective evolutionary algorithm for influence maximization under variable-length solutions. Knowl-Based Syst 256(November):109856. https:\/\/doi.org\/10.1016\/j.knosys.2022.109856","journal-title":"Knowl-Based Syst"},{"key":"9648_CR7","doi-asserted-by":"publisher","first-page":"216","DOI":"10.1016\/j.asoc.2016.05.028","volume":"47","author":"MP Boobalan","year":"2016","unstructured":"Boobalan MP, Lopez D, Gao XZ (2016) Graph clustering using K-neighbourhood attribute structural similarity. Appl Soft Comput 47:216\u2013223","journal-title":"Appl Soft Comput"},{"key":"9648_CR8","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.neucom.2018.01.065","volume":"297","author":"J Cao","year":"2018","unstructured":"Cao J, Jin Di, Yang L, Dang J (2018) Incorporating network structure with node contents for community detection on large networks using deep learning. Neurocomputing 297:71\u201381","journal-title":"Neurocomputing"},{"key":"9648_CR9","doi-asserted-by":"publisher","first-page":"361","DOI":"10.1016\/j.future.2018.08.009","volume":"91","author":"J Cao","year":"2019","unstructured":"Cao J, Wang H, Jin Di, Dang J (2019) Combination of links and node contents for community discovery using a graph regularization approach. Futur Gener Comput Syst 91:361\u2013370","journal-title":"Futur Gener Comput Syst"},{"issue":"1","key":"9648_CR10","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/s12065-019-00250-5","volume":"13","author":"Z Chai","year":"2020","unstructured":"Chai Z, Liang S (2020) A node-priority based large-scale overlapping community detection using evolutionary multi-objective optimization. Evol Intel 13(1):59\u201368","journal-title":"Evol Intel"},{"key":"9648_CR11","doi-asserted-by":"publisher","first-page":"252","DOI":"10.1016\/j.ins.2019.07.084","volume":"505","author":"Z Chang","year":"2019","unstructured":"Chang Z, Jia C, Yin X, Zheng Y (2019) A generative model for exploring structure regularities in attributed networks. Inf Sci 505:252\u2013264","journal-title":"Inf Sci"},{"issue":"2","key":"9648_CR12","doi-asserted-by":"publisher","first-page":"891","DOI":"10.1007\/s12652-019-01215-3","volume":"11","author":"J Chen","year":"2020","unstructured":"Chen J, Liu D, Hao F, Wang H (2020) Community detection in dynamic signed network: an intimacy evolutionary clustering algorithm. J Ambient Intell Humaniz Comput 11(2):891\u2013900","journal-title":"J Ambient Intell Humaniz Comput"},{"key":"9648_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2020.100286","volume":"37","author":"P Chunaev","year":"2020","unstructured":"Chunaev P (2020) Community detection in node-attributed social networks: a survey. Comput Sci Rev 37:100286","journal-title":"Comput Sci Rev"},{"key":"9648_CR14","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511780356","volume-title":"Complex networks: structure, robustness and function","author":"R Cohen","year":"2010","unstructured":"Cohen R, Havlin S (2010) Complex networks: structure, robustness and function. Cambridge University Press, Cambridge"},{"key":"9648_CR15","unstructured":"Craven M, McCallum A, PiPasquo D, Mitchell T, Freitag D (1998) Learning to extract symbolic knowledge from the world wide web. Carnegie-mellon univ pittsburgh pa school of computer Science."},{"key":"9648_CR16","doi-asserted-by":"crossref","unstructured":"Cruz JDavid, Bothorel C (2013) Information integration for detecting communities in attributed graphs. In 62\u201367. IEEE.","DOI":"10.1109\/CASoN.2013.6622601"},{"key":"9648_CR17","doi-asserted-by":"crossref","unstructured":"Falih I, Grozavu N, Kanawati R, Bennani Y (2018) Anca: attributed network clustering algorithm. In Complex networks & their applications VI: proceedings of complex networks 2017 (The sixth international conference on complex networks and their applications) 241\u201352. Springer International Publishing","DOI":"10.1007\/978-3-319-72150-7_20"},{"issue":"3\u20135","key":"9648_CR18","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","journal-title":"Phys Rep"},{"issue":"5","key":"9648_CR19","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.70.056104","volume":"70","author":"S Fortunato","year":"2004","unstructured":"Fortunato S, Latora V, Marchiori M (2004) Method to find community structures based on information centrality. Phys Rev E 70(5):056104","journal-title":"Phys Rev E"},{"key":"9648_CR20","doi-asserted-by":"crossref","unstructured":"Greene D, Cunningham P (2013) Producing a unified graph representation from multiple social network views. In Proceedings of the 5th annual ACM web science conference 118\u2013121","DOI":"10.1145\/2464464.2464471"},{"key":"9648_CR21","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.patrec.2019.02.005","volume":"122","author":"NF Haq","year":"2019","unstructured":"Haq NF, Moradi M, Jane Wang. Z (2019) Community structure detection from networks with weighted modularity. Pattern Recogn Lett 122:14\u201322","journal-title":"Pattern Recogn Lett"},{"key":"9648_CR22","doi-asserted-by":"crossref","unstructured":"He D, Zhai L, Li Z, Di Jin, Huang Y, Yu PS (2020) Adversarial Mutual information learning for network embedding. In IJCAI, 3321\u20133327","DOI":"10.24963\/ijcai.2020\/459"},{"key":"9648_CR23","doi-asserted-by":"crossref","unstructured":"Huang Y, Wangg H (2016) Consensus and multiplex approach for community detection in attributed networks. In 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 425\u201329. IEEE.","DOI":"10.1109\/GlobalSIP.2016.7905877"},{"issue":"2","key":"9648_CR24","doi-asserted-by":"publisher","first-page":"260","DOI":"10.3390\/s19020260","volume":"19","author":"B Huang","year":"2019","unstructured":"Huang B, Wang C, Wang B (2019a) Nmlpa: uncovering overlapping communities in attributed networks via a multi-label propagation approach. Sensors 19(2):260","journal-title":"Sensors"},{"issue":"6","key":"9648_CR25","doi-asserted-by":"publisher","first-page":"2520","DOI":"10.1109\/TKDE.2019.2956532","volume":"33","author":"L Huang","year":"2019","unstructured":"Huang L, Wang CD, Chao HY (2019b) HM-modularity: a harmonic motif modularity approach for multi-layer network community detection. IEEE Trans Knowl Data Eng, 33(6):2520\u20132533","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"9648_CR26","doi-asserted-by":"publisher","first-page":"105760","DOI":"10.1016\/j.knosys.2020.105760","volume":"196","author":"Z Huang","year":"2020","unstructured":"Huang Z, Zhong X, Wang Q, Gong M, Ma X (2020) Detecting community in attributed networks by dynamically exploring node attributes and topological structure. Knowl-Based Syst 196:105760","journal-title":"Knowl-Based Syst"},{"issue":"1","key":"9648_CR27","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/BF01908075","volume":"2","author":"L Hubert","year":"1985","unstructured":"Hubert L, Arabie P (1985) Comparing partitions. J Classif 2(1):193\u2013218","journal-title":"J Classif"},{"key":"9648_CR28","doi-asserted-by":"crossref","unstructured":"Jin D, Liu Z, He D, Gabrys B, Musial K (2018) Robust detection of communities with multi-semantics in large attributed networks. In Knowledge science, engineering and management: 11th international conference, KSEM 2018, Changchun, China, proceedings, part I, 11:362\u2013376. Springer, International Publishing","DOI":"10.1007\/978-3-319-99365-2_32"},{"key":"9648_CR29","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2020.04.067","author":"D Jin","year":"2020","unstructured":"Jin D, Zhang B, Song Y, He D, Feng Z, Chen S, Li W, Musial K (2020) ModMRF: a modularity-based markov random field method for community detection. Neurocomputing. https:\/\/doi.org\/10.1016\/j.neucom.2020.04.067","journal-title":"Neurocomputing"},{"issue":"1","key":"9648_CR30","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.83.016107","volume":"83","author":"B Karrer","year":"2011","unstructured":"Karrer B, Newman MEJ (2011) Stochastic blockmodels and community structure in networks. Phys Rev E 83(1):016107","journal-title":"Phys Rev E"},{"issue":"2","key":"9648_CR31","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1002\/j.1538-7305.1970.tb01770.x","volume":"49","author":"BW Kernighan","year":"1970","unstructured":"Kernighan BW, Lin S (1970) An efficient heuristic procedure for partitioning graphs. Bell Syst Tech J 49(2):291\u2013307","journal-title":"Bell Syst Tech J"},{"key":"9648_CR32","doi-asserted-by":"publisher","unstructured":"Khan BS, Niazi MA (2017) Network Community detection: a review and visual survey. ArXiv Preprint ArXiv:1708.00977. https:\/\/doi.org\/10.48550\/arXiv.1708.00977","DOI":"10.48550\/arXiv.1708.00977"},{"issue":"1","key":"9648_CR33","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1109\/TCYB.2017.2771496","volume":"49","author":"Y Li","year":"2017","unstructured":"Li Y, Jia C, Kong X, Yang L, Jian Yu (2017a) Locally weighted fusion of structural and attribute information in graph clustering. IEEE Trans Cybern 49(1):247\u2013260","journal-title":"IEEE Trans Cybern"},{"issue":"7","key":"9648_CR34","doi-asserted-by":"publisher","first-page":"1963","DOI":"10.1109\/TCYB.2017.2720180","volume":"48","author":"Z Li","year":"2017","unstructured":"Li Z, Liu J, Kai Wu (2017b) A multiobjective evolutionary algorithm based on structural and attribute similarities for community detection in attributed networks. IEEE Trans Cybern 48(7):1963\u20131976","journal-title":"IEEE Trans Cybern"},{"key":"9648_CR35","doi-asserted-by":"publisher","first-page":"47707","DOI":"10.1109\/ACCESS.2018.2867549","volume":"6","author":"P-Z Li","year":"2018","unstructured":"Li P-Z, Huang L, Wang C-D, Huang D, Lai J-H (2018a) Community detection using attribute homogenous Motif. IEEE Access 6:47707\u201347716","journal-title":"IEEE Access"},{"key":"9648_CR36","doi-asserted-by":"crossref","unstructured":"Li Y, Sha C, Huang X, Zhang Y (2018b) Community detection in attributed graphs: an embedding approach. In Proceedings of the AAAI Conference on Artificial Intelligence, 32, 1","DOI":"10.1609\/aaai.v32i1.11274"},{"issue":"2","key":"9648_CR37","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3378537","volume":"14","author":"P-Z Li","year":"2020","unstructured":"Li P-Z, Huang L, Wang C-D, Lai J-H, Huang D (2020) Community detection by motif-aware label propagation. ACM Trans Knowl Discov Data (TKDD) 14(2):1\u201319","journal-title":"ACM Trans Knowl Discov Data (TKDD)"},{"key":"9648_CR38","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/8236157","author":"Y Li","year":"2022","unstructured":"Li Y, Liu Y, Wei J, Baokai Z, Wang H (2022) General community detection in attributed networks with consistent-module constrained nonnegative matrix factorization. Wirel Commun Mobile Comput. https:\/\/doi.org\/10.1155\/2022\/8236157","journal-title":"Wirel Commun Mobile Comput"},{"issue":"3","key":"9648_CR39","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/0165-0114(92)90223-Q","volume":"50","author":"T-S Liou","year":"1992","unstructured":"Liou T-S, Wang M-J (1992) ranking fuzzy numbers with integral value. Fuzzy Sets Syst 50(3):247\u2013255","journal-title":"Fuzzy Sets Syst"},{"key":"9648_CR40","doi-asserted-by":"publisher","unstructured":"Liu C (2019) Community detection in node attributed networks: a late-fusion approach. [Master of Science Thesis, University of Alberta]. https:\/\/doi.org\/10.7939\/r3-7nqd-wz94","DOI":"10.7939\/r3-7nqd-wz94"},{"key":"9648_CR41","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/j.neucom.2019.07.011","volume":"362","author":"S Liu","year":"2019","unstructured":"Liu S, Ding C, Jiang F, Wang Y, Yin B (2019a) Auto-weighted multi-view learning for semi-supervised graph clustering. Neurocomputing 362:19\u201332","journal-title":"Neurocomputing"},{"key":"9648_CR42","doi-asserted-by":"publisher","first-page":"57943","DOI":"10.1109\/ACCESS.2019.2912182","volume":"7","author":"Z Liu","year":"2019","unstructured":"Liu Z, Xiang B, Guo W, Chen Y, Guo K, Zheng J (2019b) Overlapping community detection algorithm based on coarsening and local overlapping modularity. IEEE Access 7:57943\u201357955","journal-title":"IEEE Access"},{"key":"9648_CR43","doi-asserted-by":"crossref","unstructured":"Liu C, Largeron C, Za\u00efane OR, Gharaghooshi SZ (2020) A late-fusion approach to community detection in attributed networks. In Advances in Intelligent Data Analysis XVIII: 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, Proceedings 18:300\u2013312. Springer International Publishing","DOI":"10.1007\/978-3-030-44584-3_24"},{"issue":"1","key":"9648_CR44","doi-asserted-by":"publisher","first-page":"95","DOI":"10.3390\/e21010095","volume":"21","author":"S Luo","year":"2019","unstructured":"Luo S, Zhang Z, Zhang Y, Ma S (2019) Co-association matrix-based multi-layer fusion for community detection in attributed networks. Entropy 21(1):95","journal-title":"Entropy"},{"key":"9648_CR45","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1016\/j.asoc.2018.03.014","volume":"67","author":"A Moayedikia","year":"2018","unstructured":"Moayedikia A (2018) Multi-objective community detection algorithm with node importance analysis in attributed networks. Appl Soft Comput 67:434\u2013451","journal-title":"Appl Soft Comput"},{"key":"9648_CR46","doi-asserted-by":"crossref","unstructured":"Mu C, Zhang J, Licheng J (2014) An intelligent ant colony optimization for community detection in complex networks. In 2014 IEEE congress on evolutionary computation (CEC), 700\u2013706. IEEE","DOI":"10.1109\/CEC.2014.6900411"},{"issue":"2","key":"9648_CR47","doi-asserted-by":"publisher","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 69(2):026113","journal-title":"Phys Rev E"},{"key":"9648_CR48","doi-asserted-by":"crossref","unstructured":"Pizzuti C, Socievole A (2020) Community detection in attributed graphs with differential evolution. In Applications of evolutionary Computation: 23rd European Conference, EvoApplications 2020, Held as Part of EvoStar 2020, Seville, Spain, 2020, Proceedings 23:323\u2013335. Springer International Publishing","DOI":"10.1007\/978-3-030-43722-0_21"},{"issue":"2","key":"9648_CR49","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2517088","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(2):1\u201328","journal-title":"ACM Trans Intell Syst Technol (TIST)"},{"issue":"December","key":"9648_CR50","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115854","volume":"186","author":"E Pourabbasi","year":"2021","unstructured":"Pourabbasi E, Majidnezhad V, Afshord ST, Jafari Y (2021) A new single-chromosome evolutionary algorithm for community detection in complex networks by combining content and structural information. Expert Syst Appl 186(December):115854. https:\/\/doi.org\/10.1016\/j.eswa.2021.115854","journal-title":"Expert Syst Appl"},{"issue":"5","key":"9648_CR51","doi-asserted-by":"publisher","first-page":"1099","DOI":"10.1007\/s00607-021-01033-6","volume":"104","author":"E Pourabbasi","year":"2022","unstructured":"Pourabbasi E, Majidnezhad V, Afshord ST, Jafari Y (2022) A novel memorizing single chromosome evolutionary algorithm for detecting communities in complex networks. Computing 104(5):1099\u20131122. https:\/\/doi.org\/10.1007\/s00607-021-01033-6","journal-title":"Computing"},{"key":"9648_CR52","doi-asserted-by":"publisher","first-page":"342","DOI":"10.1016\/j.knosys.2018.07.037","volume":"161","author":"M Qin","year":"2018","unstructured":"Qin M, Jin Di, Lei K, Gabrys B, Musial-Gabrys K (2018) Adaptive community detection incorporating topology and content in social networks\u2730. Knowl-Based Syst 161:342\u2013356","journal-title":"Knowl-Based Syst"},{"issue":"336","key":"9648_CR53","doi-asserted-by":"publisher","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(336):846\u2013850","journal-title":"J Am Stat Assoc"},{"issue":"2","key":"9648_CR54","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1007\/s12065-019-00327-1","volume":"13","author":"G Reddy","year":"2020","unstructured":"Reddy G, Thippa MP, Reddy K, Lakshmanna K, Rajput DS, Kaluri R, Srivastava G (2020) Hybrid genetic algorithm and a fuzzy logic classifier for heart disease diagnosis. Evol Intel 13(2):185\u2013196. https:\/\/doi.org\/10.1007\/s12065-019-00327-1","journal-title":"Evol Intel"},{"issue":"January","key":"9648_CR55","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.108126","volume":"115","author":"V Sahargahi","year":"2022","unstructured":"Sahargahi V, Majidnezhad V, Afshord ST, Jafari Y (2022) An intelligent chaotic clonal optimizer. Appl Soft Comput 115(January):108126. https:\/\/doi.org\/10.1016\/j.asoc.2021.108126","journal-title":"Appl Soft Comput"},{"issue":"7","key":"9648_CR56","doi-asserted-by":"publisher","first-page":"1523","DOI":"10.1007\/s00607-023-01157-x","volume":"105","author":"V Sahargahi","year":"2023","unstructured":"Sahargahi V, Majidnezhad V, Afshord ST, Jafari Y (2023) A novel discrete ICO algorithm for influence maximization in complex networks. Computing 105(7):1523\u20131546. https:\/\/doi.org\/10.1007\/s00607-023-01157-x","journal-title":"Computing"},{"issue":"3","key":"9648_CR57","first-page":"93","volume":"29","author":"P Sen","year":"2008","unstructured":"Sen P, Namata G, Bilgic M, Getoor L, Galligher B, Eliassi-Rad T (2008) Collective classification in network data. AI Mag 29(3):93\u201393","journal-title":"AI Mag"},{"key":"9648_CR58","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-31821-4","volume-title":"Community structure of complex networks","author":"H-W Shen","year":"2013","unstructured":"Shen H-W (2013) Community structure of complex networks. Springer Science & Business Media, Berlin"},{"key":"9648_CR59","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105393","volume":"193","author":"H Sun","year":"2020","unstructured":"Sun H, Huang R, Jia X, He L, Sun M, Wang P, Sun Z, Huang J (2020a) Community search for multiple nodes on attribute graphs. Knowl-Based Syst 193:105393","journal-title":"Knowl-Based Syst"},{"issue":"8","key":"9648_CR60","doi-asserted-by":"publisher","first-page":"7791","DOI":"10.1109\/TCYB.2021.3051021","volume":"52","author":"J Sun","year":"2021","unstructured":"Sun J, Zheng W, Zhang Q, Xu Z (2021) Graph neural network encoding for community detection in attribute networks. IEEE Trans Cybern, 52(8):7791\u20137804","journal-title":"IEEE Trans Cybern"},{"key":"9648_CR61","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.ins.2019.06.010","volume":"502","author":"S Tahmasebi","year":"2019","unstructured":"Tahmasebi S, Moradi P, Ghodsi S, Abdollahpouri A (2019) An ideal point based many-objective optimization for community detection of complex networks. Inf Sci 502:125\u2013145","journal-title":"Inf Sci"},{"key":"9648_CR62","doi-asserted-by":"publisher","first-page":"487","DOI":"10.1007\/978-1-4419-6045-0_16","volume-title":"Managing and mining graph data","author":"L Tang","year":"2010","unstructured":"Tang L, Liu H (2010) Graph mining applications to social network analysis. Managing and mining graph data. Springer, Boston, pp 487\u2013513"},{"issue":"September","key":"9648_CR63","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2022.100326","volume":"9","author":"CPS Tautenhain","year":"2022","unstructured":"Tautenhain CPS, Nascimento MCV (2022) SpecRp: a spectral-based community embedding algorithm. Mach Learn Appl 9(September):100326. https:\/\/doi.org\/10.1016\/j.mlwa.2022.100326","journal-title":"Mach Learn Appl"},{"key":"9648_CR64","doi-asserted-by":"crossref","unstructured":"Wang X, Jin D, Cao X, Yang L, Zhang W (2016) Semantic community identification in large attribute networks. In Proceedings of the AAAI conference on artificial intelligence, 30, 1","DOI":"10.1609\/aaai.v30i1.9977"},{"issue":"1","key":"9648_CR65","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1007\/s10115-017-1030-8","volume":"53","author":"Z Xu","year":"2017","unstructured":"Xu Z, Cheng J, Xiao X, Fujimaki R, Muraoka Y (2017) Efficient nonparametric and asymptotic bayesian model selection methods for attributed graph clustering. Knowl Inf Syst 53(1):239\u2013268","journal-title":"Knowl Inf Syst"},{"key":"9648_CR66","doi-asserted-by":"crossref","unstructured":"Yang J, Leskovec J (2013) Overlapping Community detection at scale: a nonnegative matrix factorization approach. In Proceedings of the sixth ACM international conference on Web search and data mining 587\u2013596","DOI":"10.1145\/2433396.2433471"},{"key":"9648_CR67","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, 927\u2013936","DOI":"10.1145\/1557019.1557120"},{"key":"9648_CR68","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/874217","author":"L Zhang","year":"2014","unstructured":"Zhang L, Ye Q, Shao Y, Li C, Gao H (2014) An efficient hierarchy algorithm for community detection in complex networks. Math Probl Eng. https:\/\/doi.org\/10.1155\/2014\/874217","journal-title":"Math Probl Eng"},{"key":"9648_CR69","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1016\/j.knosys.2018.09.002","volume":"163","author":"Z Zhao","year":"2019","unstructured":"Zhao Z, Li C, Zhang X, Chiclana F, Viedma EH (2019) An incremental method to detect communities in dynamic evolving social networks. Knowl-Based Syst 163:404\u2013415","journal-title":"Knowl-Based Syst"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-024-09648-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00500-024-09648-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-024-09648-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,19]],"date-time":"2024-07-19T09:10:42Z","timestamp":1721380242000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00500-024-09648-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2,29]]},"references-count":69,"journal-issue":{"issue":"11-12","published-print":{"date-parts":[[2024,6]]}},"alternative-id":["9648"],"URL":"https:\/\/doi.org\/10.1007\/s00500-024-09648-5","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2,29]]},"assertion":[{"value":"8 January 2024","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 February 2024","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This material has not been published in whole or in part elsewhere; The manuscript is not currently being considered for publication in another journal; All authors have been personally and actively involved in substantive work leading to the manuscript, and will hold themselves jointly and individually responsible for its content.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Informed consent was obtained from all individual participants included in the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}