[1] CHEN W,WANG C,WANG Y.Scalable influence maximization for prevalent viral marketing in large-scale social networks[C]//Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.Washington,DC:[s.n.],2010:1029-1038. [2] ZHANG H,ZHANG J,ZHOU C,et al.Hub nodes inhibit the outbreak of epidemic under voluntary vaccina-tion[J].New Journal of Physics,2010,12:023015. [3] WANG C,CHEN W,WANG Y.Scalable influence maximization for independent cascade model in large-scale social networks[J].Data Mining and Knowledge Discovery,2012,25(3):545-576. [4] FREEMAN L C.Centrality in social networks conceptual clarification[J].Social Networks,1978,1:215-239. [5] FREEMAN L C.A set of Measures of centrality based on betweenness[J].Sociometry,1977,40:35-41. [6] SABIDUSSI G.The centrality index of a graph[J].Psychometrika,1966,31:581-603. [7] KITSAK M,GALLOS L K,HAVLIN S,et al.Identification of influential spreaders in complex networks[J].Nature Physics,2010,6(11):888-893. [8] LU L,ZHOU T,ZHANG Q M,et al.The H-index of a network node and its relation to degree and coreness[J].Nature Communications,2016,7:10168-10174. [9] 卢鹏丽,董 璊.聚类系数指标对复杂网络鲁棒性的影响分析[J].兰州理工大学学报,2019,45(3):101-107. [10] HIRSCH J E.An index to quantify an individual's scientific research output[J].Proceedings of the National Academy of Sciences of the USA,2005,102:16569-16572. [11] LU L,ZHOU T,ZHANG Q M,et al.The H-index of a network node and its relation to degree and core-ness[J].Nature Communications,2016,7:10168-10174. [12] HU J,DU Y,MO H,et al.A modified weighted TOPSIS to identify influential nodes in complex networks[J].Physica A,2016,444:73-85. [13] WANG D,ZOU X.A new centrality measure of nodes in multilayer networks under the framework of tensor computa-tion[J].Applied Mathematical Modelling,2018,54:46-63. [14] WANG Q,REN J,WANG Y,et al.CDA:a clustering degree based influential spreader identification algorithm in weighted complex network[J].IEEE Access,2018,6:19550-19559. [15] FU L D,GAO L,MA X K.A centrality measure based on spectral optimization of modularity density[J].Science China (Information Sciences),2010,53:1727-1737. [16] ZACHARY W W.An information flow model for conflict and fission in small groups[J].Journal of Anthropological Research,1977,33:452-473. [17] LUSSEAU D,SCHNEIDER K,BOISSEAU O J,et al.The bottlenose dolphin community of doubtful sound features a large proportion of long-lasting associations[J].Behavioral Ecology Sociobiology,2003,54:396-405. [18] GLEISER P M,DANON L.Community structure in jazz[J].Advances in Complex Systems,2003,6(4):565-573. [19] Pajek datasets[DB/OL].[2019-07-10].http://vlado.fmf.uni-lj.si/pub/networks/data/. [20] GUIMERA R,DANON L,DIAZ-GUILERA A,et al.Self-similar community structure in a network of human interactions[J].Physical Review E,2003,68(6):065103. [21] NEWMAN M E.Finding community structure in networks using the eigenvectors of matrices[J].Physical Review E,2006,74(3):036104. [22] BU D,ZHAO Y,CAI L,XUE H,et al.Topological structure analysis of the protein-protein interaction network in budding yeast[J].Nucleic Acids Research,2003,31(9):2443-2450. [23] MA Q,MA J.Identifying and ranking influential spreaders in complex networks with consideration of spreading probability[J].Physica A,2017,465:312-330. [24] GILLESPIE D T.Exact stochastic simulation of coupled chemical reactions[J].Journal of Physical Chemistry,1977,81:2340-2361. [25] CASTELLANO C,PASTOR-SATORRAS R.Thresholds for epidemic spreading in networks[J].Physical Review Letters,2010,105:218701. [26] BAE J,KIM S.Identifying and ranking influential spreaders in complex networks by neighborhood coreness[J].Physica A,2014,395:549-59. [27] KENDALL M G.A new measure of rank correlation[J].Biometrika,1938,30:81-93. [28] BARABASI A L,ALBERT R.Emergence of scaling in random networks[J].Science,1999,286:509-512. |