Analysis of the Dynamic Influence of Social Network Nodes

被引:1
作者
Yin, Hong-Jian [1 ]
Yu, Hai [1 ]
Zhao, Yu-Li [1 ]
Zhu, Zhi-Liang [1 ]
Zhang, Wei [1 ]
机构
[1] Northeastern Univ, Software Coll, 195 Chuangxin Rd, Shenyang, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
CENTRALITY; INTERNET; SIR;
D O I
10.1155/2017/5046905
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In recent years, with the development of the social network theories, how to find or mining the most significant node in social network for understanding or controlling the information dissemination has become a hot topic and a series of effective algorithms have been presented. In this paper, a new scheme to measure the dynamic influence of the nodes in a social network is proposed, in which the sum of trust values of the propagation nodes is used. Simulations have been carried out and the results show that our scheme is stable and accurate.
引用
收藏
页数:6
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共 31 条
  • [1] Error and attack tolerance of complex networks
    Albert, R
    Jeong, H
    Barabási, AL
    [J]. NATURE, 2000, 406 (6794) : 378 - 382
  • [2] SOME DISCRETE-TIME SI, SIR, AND SIS EPIDEMIC MODELS
    ALLEN, LJS
    [J]. MATHEMATICAL BIOSCIENCES, 1994, 124 (01) : 83 - 105
  • [3] [Anonymous], 2005, Journal of Graph Algorithms and Applications, DOI DOI 10.7155/JGAA.00108
  • [4] [Anonymous], 2009, KDD
  • [5] [Anonymous], 1999, PAGERANK CITATION RA
  • [6] [Anonymous], 2008, MODELING INFECT DIS, DOI DOI 10.1515/9781400841035
  • [7] Backstrom L, 2012, PROCEEDINGS OF THE 3RD ANNUAL ACM WEB SCIENCE CONFERENCE, 2012, P33
  • [8] Emergence of scaling in random networks
    Barabási, AL
    Albert, R
    [J]. SCIENCE, 1999, 286 (5439) : 509 - 512
  • [9] Barreiras A., 2009, P WORLD C ENG, V2
  • [10] Self-similar scaling of density in complex real-world networks
    Blagus, Neli
    Subelj, Lovro
    Bajec, Marko
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2012, 391 (08) : 2794 - 2802