南京大学学报(自然科学版) ›› 2017, Vol. 53 ›› Issue (3): 537.
张泽华1*,段力畑1,段 富1,张 楠2
Zhang Zehua1*,Duan Litian1,Duan Fu1,Zhang Nan2
摘要: 社区挖掘是复杂网络研究的核心内容之一.基于局部结构建模的重叠社区发现方法由于可利用局部先验知识,具有适应网络动态环境,建模速度快,可多角度呈现局部结构特征等优点,当前已成为大规模网络发现研究的前沿热点.从理论发展沿革与现实应用的视角,介绍重叠社区发现研究近来的相关研究进展.通过分析重叠社区发现研究存在的关键问题,给出基于局部结构特征的重叠社区挖掘研究框架,并对几类典型的重叠社区发现方法展开分析比较.然后进一步阐述和探讨如何面对现实超大规模网络、多态异构网络、不确定性数据、动态演化结构等方面面临的巨大挑战.最后总结并展望了基于局部结构的重叠社区发现研究的未来方向和前景.
[1] Girvan M,Newman M E J.Community structure in social and biological networks.Proceedings of the National Academy of Sciences,2002,99(12):7821-7826. [2] Fortunato S.Community detection in graphs.Physics Reports,2010,486(3):75-174. [3] Newman M E J,Girvan M.Finding and evaluating community structure in networks.Physical Review E,2004,69(2):026113. [4] Newman M E J.Finding community structure in networks using the eigenvectors of matrices.Physical Review E,2006,74(3):036104. [5] Pons P,Latapy M.Computing communities in large networks using random walks.In:Proceedings of the Computer and Information Sciences(ISCIS 2005).Springer,2005:284-293. [6] Gregory S.Fuzzy overlapping communities in networks.Journal of Statistical Mechanics:Theory and Experiment,2011,2(2):P02017. [7] Havemann F,Gläser J,Heinz M,et al.Identifying overlapping and hierarchical thematic structures in networks of scholarly papers:A comparison of three approaches.PLOS ONE,2012,7(3):e33255. [8] Schaeffer S E.Graph clustering.Computer Science Review,2007,1(1):27-64. [9] Shen H W,Cheng X Q,Cai K,et al.Detect overlapping and hierarchical community structure in networks.Physica A:Statistical Mechanics and its Applications,2009,388(8):1706-1712. [10] Clauset A,Newman M E,Moore C.Finding community structure in very large networks.Physical Review E,2004,70(6):066111. [11] Blondel V D,Guillaume J L,Lambiotte R,et al.Fast unfolding of communities in large networks.Journal of Statistical Mechanics Theory & Experiment,2008,2008(10):155-168. [12] Papadopoulos S,Kompatsiaris Y,Vakali A,et al.Community detection in social media.Data Mining and Knowledge Discovery,2011,24(3):515-54. [13] Clauset A.Finding local community structure in networks.Physical Review E,2005,72(2):026132. [14] Palla G,Derenyi I,Farkas I,et al.Uncovering the overlapping community structures of complex networks in nature and society.Nature,2005,435(7043):814-818. [15] Evans T S,Lambiotte R.Line graphs,link partitions,and overlapping communities.Physical Review E,2009,80(1):016105. [16] Lancichinetti A,Fortunato S,Kertész J.Detecting the overlapping and hierarchical community structure in complex networks.New Journal of Physics,2009,11(3):033015. [17] Lee C,Reid F,McDaid A,et al.Detecting highly overlapping community structure by greedy clique expansion.In:Proceedings of the 4th International Workshop on Social Network Mining and Analysis.New York,USA:ACM,2010:33-42. [18] Havemann F,Heinz M,Struck A,et al.Identification of overlapping communities and their hierarchy by locally calculating communitychanging resolution levels.Computer Science,2010,2011(01):01023. [19] Condon A,Karp R M.Algorithms for graph partitioning on the planted partition model.Random Structures and Algorithms,2001,18(2):116-140. [20] Ahn Y Y,Bagrow J P,Lehmann S.Link communities reveal multiscale complexity in networks.Nature,2010,466(7307):761-764. [21] Ball B,Karrer B,Newman M E J.An efficient and principled method for detecting communities in networks.Physical Review E,2011,84(3):036103. [22] Kim Y,Jeong H.Map equation for link communities.Physical Review E,2011,84(2):026110. [23] Raghavan U N,Albert R,Kumara S.Near linear time algorithm to detect community structures in largescale networks.Physical Review E,2007,76(3):036106. [24] Leung I X,Hui P,Lio P,et al.Crowcroft J.Towards realtime community detection in large networks.Physical Review E,2009,79(6):066107. [25] Gregory S.Finding overlapping communities in networks by label propagation.New Journal of Physics,2010,12(10):103018. [26] Chen Z,Xie Z,Zhang Q.Community detection based on local topological information and its application in power grid.Neurocomputing,2015,170:384-392. [27] Akcora C G,Carminati B,Ferrari E.User similarities on social networks.Social Network Analysis and Mining,2013,3(3):475-495. [28] van Dongen S.Graph clustering by flow simulation.Ph.D.Dissertation.Utrecht:Dutch National Research Institute for Mathematics and Computer Science,University of Utrecht,Netherlands,2000. [29] Lai D R,Lu H T,et al.finding communities in directed networks by PageRank random walk induced network embedding.Physica A:Statistical Mechanics and Its Applications,2010,389(12):2443-2454. [30] Tonnies F,Loomis C P.Community and society: Gemeinschaft und Gesellschaft.New York:Dover Publications,1957,294. [31] Radicchi F,Castellano C,Cecconi F,et al.Defining and identifying communities in networks.Proceedings of the National Academy of Sciences,2004(101):2658-2663. [32] Kannan R,Vempala S,Vetta A.On clusterings:Good,bad and spectral.Journal of the ACM,2004,51(3):497-515. [33] Demir G N,Uyar A S,Ögüdücü S G.Graphbased sequence clustering through multiobjective evolutionary algorithms for web recommender systems.In:Lipson H.Proceedings of 2007 Genetic and Evolutionary computation Conference(GTECCO2007).New York,USA:ACM Press,2007,1943-1950. [34] Fortunato S,Barthelemy M.Resolution limit in community detection.Proceedings of the National Academy of Sciences of the United States of America,2007,104(1):36-41. [35] Danon L,DíazGuilera A,Arenas A.Effect of size heterogeneity on community identification in complex networks.Journal of Statistical Mechanics:Theory and Experiment,2006,2006(11):P11010. [36] Nicosia V,Mangioni G,Carchiolo V,et al.Extending the definition of modularity to directed graphs with overlapping communities.Journal of Statistical Mechanics:Theory and Experiment,2009(3):3166-3168. [37] 郭世泽,陆哲明.复杂网络基础理论.北京:科学出版社,2012,340. [38] Barabási A L,Albert R.Emergence of scaling in random networks.Science,1999,286(5439):509. [39] Watts D J,Strogatz S H.Collective dynamics of ‘smallworld’ networks.Nature,1998:440-442. [40] Kumpula J M,Kivelä M,Kaski K,et al.Sequential algorithm for fast clique percolation.Physical Review E:Statistical Nonlinear & Soft Matter Physics,2008,78(2):026109. [41] Chen Q,Wu T T,Fang M.Detecting local community structures in complex networks based on local degree central nodes.Physica A:Statistical Mechanics & Its Applications,2013,392(3):529-537. [42] 张泽华,苗夺谦,钱 进.邻域粗糙化的启发式重叠社区扩张方法.计算机学报,2013,36(10):2078-2086.(Zhang Z H,Miao D Q,Qian J.Detecting overlapping communities with heuristic expansion method based on rough neighborhood.Chinese Journal of Computers,2013,36(10):2078-2086.) [43] Yang J,Leskovec J.Defining and evaluating network communities based on groundtruth.Knowledge and Information Systems,2015,42(1):181-213. [44] 潘 磊,金 杰,王崇骏等.社会网络中基于局部信息的边社区挖掘.电子学报,2012,40(11):2255-2263.(Pan L,Jin J,Wang C J,et al.Detecting link communities based on local information in social networks.Acta Electronica Sinica,2012,40(11):2255-2263.) [45] Xie J,Szymanski B K,Liu X.SLPA:Uncovering overlapping communities in social networks via a speakerlistener interaction dynamic process.In:Proceedings of the International Conference on Data Mining Workshops.Vancouver,USA:IEEE,2011:344-349. [46] Dai Q G,Guo M Z,Liu Y,et al.MLPA:Detecting overlapping communities by multilabel propagation approach.In:Proceedings of the IEEE Congress on Evolutionary Computation.Cancun,Mexico:IEEE,2013:681-688. [47] Liu X,Murata T.Advanced modularityspecialized label propagation algorithm for detecting communities in networks.Physica A:Statistical Mechanics & Its Applications,2010,389(7):1493-1500. [48] 陈 晶,万 云.社交网络中基于模块度最大化的标签传播算法的研究.通信学报,2017,38(2):25-33.(Chen J,Wan Y.Research on label propagation algorithm based on modularity maximization in the social network.Journal of Communications,2017,38(2):25-33.) [49] 刘世超,朱福喜,甘 琳.基于标签传播概率的重叠社区发现算法.计算机学报,2015,39(4):717-729.(Liu S C,Zhu F X,Gan L.A Labelpropagationprobabilitybased algorithm for overlapping community detection.Chinese Journal of Computers,2015,39(4):717-729.) [50] 刘冰玉,王翠荣,王 聪等.基于动态主题模型融合多维数据的微博社区发现算法.软件学报,2017,28(2):246-261.(Liu B Y,Wang C R,Wang C,et al.Microblog community discovery algorithm based on dynamic topic model with multidimensional data fusion.Journal of Software,2017,28(2):246-261.) [51] Lü L,Zhou T.Link prediction in complex networks:A survey.Physica A:Statistical Mechanics & Its Applications,2010,390(6):1150-1170. [52] Lü L,Pan L,Zhou T,et al.Toward link predictability of complex networks.Proceedings of the National Academy of Sciences of the United States of America,2015,112(8):2325-2330. [53] Lü L,Chen D,Ren X L,et al.Vital nodes identification in complex networks.Physics Reports,2016:650. [54] 柴变芳,贾彩燕,于 剑.基于概率模型的大规模网络结构发现方法.软件学报,2014,25(12):2753-2766.(Chai B F,Jia C Y,Yu J.A labelpropagationprobabilitybased algorithm for overlapping community detection.Journal of Software,2014,25(12):2753-2766.) [55] 康 颖,古晓艳,于 博等.一种面向大规模社会信息网络的多层社区发现算法.计算机学报,2016,39(1):169-180.(Kang Y,Gu X Y,Yu B,et al.A Multilevel community detection algorithm for large scale social information networks.Chinese Journal of Computers,2016,39(1):169-180.) [56] Ge R,Ester M,Gao B J,et al.Joint cluster analysis of attribute data and relationship data:The connected kcenter problem,algorithms and applications.ACM Transactions on Knowledge Discovery from Data,2008,2(2)7:1-35. [57] Brigitte B,Stephan G,Holger H,et al.Mining coherent subgraphs in multilayer graphs with edge labels.Knowledge & Information Systems,2012:1-30. [58] Cheng H,Zhou Y,Yu J X.Clustering large attributed graphs:A balance between structural and attribute similarities.ACM Transactions on Knowledge Discovery from Data,2011,5(2):12. [59] Xu Z,Ke Y,Wang Y,et al.GBAGC:A general bayesian framework for attributed graph clustering.ACM Transactions on Knowledge Discovery from Data,2014,9(1):1-43. [60] Shi C,Li Y,Zhang J,et al.A Survey of heterogeneous information network analysis.IEEE Transactions on Knowledge & Data Engineering,2017,29(12):87-99. [61] Tang J,Lou T,Kleinberg J,et al.Transfer learning to infer social ties across heterogeneous networks.ACM Transactions on Information Systems,2016,34(2):7. [62] Liu D,Liu X,Wang W J,et al.Semisupervised community detection based on discrete potential theory.Physica A:Statistical Mechanics and its Applications,2014,416:173-182. [63] Yang L,Jin D,Wang X,et al.Active link selection for efficient semisupervised community detection.Scientific Reports,2015,5:90391-903912. [64] Wang M,Wang C,Yu J X,et al.Community detection in social networks:An indepth benchmarking study with a procedureoriented framework.Proceedings of the VLDB Endowment,2015,8(10):998-1009. [65] 陈俊宇,周 刚,南 煜.一种半监督的局部扩展式重叠社区发现方法.计算机研究与发展,2016,53(6):1376-1388.(Chen J Y,Zhou G,Nan Y,et al.Semisupervised local expansion method for overlapping community detection.Journal of Computer Research and Development,2016,53(6):1376-1388.) [66] Han X,Shen Z,Wang W X,et al.Robust reconstruction of complex networks from sparse data.Physical Review Letters,2015,114(2):028701. [67] Radicchi F.Percolation in real interdependent networks.Nature Physics,2015,11(7):597-602. |
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