[1] BARABÀSI A L. Network science[M]. Cambridge:Cambridge University Press, 2016. [2] STROGATZ S H. Exploring complex networks[J]. Nature, 2001,410(6825):268-276. [3] NEWMAN M. The structure and function of complex networks[J]. Siam review, 2003,45(2):167-256. [4] BORGE-HOLTHOEFER J,MORENO Y.Absence of influential spreaders in rumor dynamics[J]. Physical review e, 2012, 85(2):026116. [5] HOSNI A, LI K, AHMAD S. Minimizing rumor influence in multiplex online social networks based on human individual and social behaviors[J]. Information sciences, 2020, 512:1458-1480. [6] AHMED W, VIDAL-ALABALL J, DOWNING J, et al.COVID-19 and the 5G conspiracy theory:social network analysis of twitter data[J].Journal of medical intertnet research, 2020, 22(5):e19458. [7] COLIZZA V, BARRAT A, BARTHÉLEMY M, et al. The modeling of global epidemics:stochastic dynamics and predictability[J].Bulletin of mathematical biology,2006, 68(8):1893-1921. [8] WANG W, TANG M, EUGENE S H,et al. Unification of theoretical approaches for epidemic spreading on complex networks[J]. Reports on progress in physics. physical society (Great Britain), 2017,80(3):036603. [9] LIU X R, HONG Z Y, LIU J, et al. Computational methods for identifying the critical nodes in biological networks[J] Briefings in bioinformatics, 2020,21(2):486-497. [10] 刘振杰,赵姝,陈洁,等.一种新的基于节点重要性的免疫策略研究[J].南京大学学报(自然科学),2017,53(2):350-356. [11] LÜ L Y, ZHANG Y C, YEUNG C H,et al. Leaders in social networks, the delicious case[J]. Plos one, 2011, 6(6):e21202. [12] 陈芬, 付希, 何源,等. 融合社会网络分析与影响力扩散模型的微博意见领袖发现研究[J]. 数据分析与知识发现, 2018, 2(12):60-67. [13] YOU X M, MA Y H, LIU Z Y, et al. Representation method of cooperative social network features based on node2vec model[J].Computer communications,2021,173:21-26. [14] FREEMAN L C. Centrality in social networks:conceptual clarification[J]. Social network, 1979, 1(3):215-239. [15] KITSAK M, GALLOS L K, HAVLIN S, et al. Identification of influential spreaders in complex networks[J]. Nature physics, 2010,6(11):888-893. [16] FREEMAN L C. A set of measures of centrality based on betweenness[J]. Sociometry, 1977, 40(1):35-41. [17] SABIDUSSI G. The centrality index of a graph[J]. Psychometrika, 1966, 31(4):581-603. [18] BONACICH P. Factoring and weighting approaches to status scores and clique identification[J]. Journal of mathematical sociology, 1972, 2(1):113-120. [19] KORN A, SCHUBERT A, TELCS A.Lobby index in networks[J]. Physica a:statistical mechanics and its applications, 2009, 388(11):2221-2226. [20] LÜ L Y, 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. [21] LIU Q, ZHU Y X, JIA Y,et al.Leveraging local h-index to identify and rank influential spreaders in networks[J].Physica a:statistical mechanics and its applications, 2018,512:379-391. [22] ZAREIE A,SHEIKHAHMADI A. Ehc:extended h-index centrality measure for identification of users' spreading influence in complex networks[J]. Physica a:statistical mechanics and its applications, 2019, 514:141-155. [23] ZHAO S, ROUSSEAU R, YE F Y. H-degree as a basic measure in weighted networks[J]. Journal of informetrics, 2011, 5(4):668-677. [24] GAO L, YU S,LI M,et al. Weighted h-index for identifying influential spreaders[J].Symmetry. 2019, 11(10):1263. [25] YANG P L, LIU X, XU G Q. An extended clustering method using h-index and minimum distance for searching multiple key spreaders[J]. International journal of modern physics c, 2019, 30(7):1940008. [26] LI Y X, SHENG Y Q, YE X Z.Group centrality algorithms based on the h-index for identifying influential nodes in large-scale networks[J].International journal of innovative computing, information and control,2020,16(4):1183-1201. [27] 卢鹏丽,于洲.基于度与H指数扩展的复杂网络节点排序方法[J].兰州理工大学学报,2020,46(5):100-106. [28] ABBASI A.H-type hybrid centrality measures for weighted networks J].Scientometrics,2013,96(2):633-640. [29] ZACHARY W W. An information flow model for conflict and fission in small groups[J]. Journal of anthropological research, 1977, 33(4):452-473. [30] 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(4):396-405. [31] GLEISER P M, DANON L. Community structure in jazz[J]. Advances in complex systems, 2003, 6(4):565-573. [32] BATAGELI V,MRVAR A.Pajek datasets[DB/OL].[2021-04-07].http://vlado.fmf.uni-lj.si/pub/networks/data. [33] GUIMERÀ 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. [34] NEWMAN M. Finding community structure in networks using the eigenvectors of matrices[J]. Physical review e, 2006, 74(3):036104. [35] BU D,ZHAO Y,CAI L, et al. Topological structure analysis of the protein-protein interaction network in budding yeast[J]. Nucleic acids research, 2003(9):2443-2450. [36] WATTS D J,STROGATZ S H. Collective dynamics of ‘small-world’ networks.[J]. Nature, 1998,393(6684):440-442. [37] BAE J, KIM S,et al. Identifying and ranking influential spreaders in complex networks by neighborhood coreness[J]. Physica a:statistical mechanics and its applications, 2014, 395(4):549-559. [38] KERMACK W O,MCKENDRICK A G.A contribution to the mathematical theory of epidemics[J]. Proceedings of the royal society a mathematical physical & engineering sciences, 1927, 115(772):700-721. [39] KENDALL M. A new measure of rank correlation[J]. Biometrika, 1938, 30(1/2):81-93. [40] CASTELLANO C,PASTOR-SATORRAS R.Thresholds for epidemic spreading in networks[J]. Physical review letters, 2010, 105(21):218701. [41] 邹青, 张莹莹, 陈一帆,等. 社交网络中一种快速精确的节点影响力排序算法[J]. 计算机工程与科学, 2014,36(12):2346-2354. [42] LANCICHINETTI A, FORTUNATO S,RADICCHI F.Benchmark graphs for testing community detection algorithms[J]. Physical review e, 2008, 78(4):046110. |