[1]顾亦然,马德营,孟繁荣.社交网络中个体对群体影响力分析[J].计算机技术与发展,2018,28(12):190-193.[doi:10.3969/j.issn.1673-629X.2018.12.040]
　GU Yiran,MA Deying,MENG Fanrong.Analysis of Individual Influence on Groups in Social Network[J].,2018,28(12):190-193.[doi:10.3969/j.issn.1673-629X.2018.12.040]
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社交网络中个体对群体影响力分析()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年12期
页码:
190-193
栏目:
应用开发研究
出版日期:
2018-12-10

文章信息/Info

Title:
Analysis of Individual Influence on Groups in Social Network
文章编号:
1673－629X(2018)12－0190－04
作者:
顾亦然;  马德营;  孟繁荣
南京邮电大学自动化学院,江苏南京,210023
Author(s):
GU Yi－ran; MA De－ying; MENG Fan－rong
School of Automation，Nanjing University of Posts and Telecommunications，Nanjing 210023，China
关键词:
复杂网络;  节点贡献度;  群体影响力;  病毒传播
Keywords:
complex network; node contribution; group influence; virus transmission
分类号:
TP301
DOI:
10.3969/j.issn.1673-629X.2018.12.040
摘要:
随着互联网的快速发展,社交网络节点影响力的研究成为热点,影响力分析对理解网络谣言、信息、病毒传播等具有重要意义.当前研究多集中于如何评价和衡量影响力,少有从个体对群体角度研究影响力的作用机制.文中将影响力看作是一种能够在网络连边传递的能量,个体影响力的大小为传递能量的程度.基于该思想,提出了一种基于介数中心性和节点贡献度的个体对群体影响力算法.通过与介数中心性、k-shell和PageRank算法的对比以及传染病传播模型的传播实验表明,该算法能够有效、准确地表征个体对群体的影响力;通过对个体对群体的影响力各区间段节点频数分布研究发现,其值呈现幂律分布,具有无标度现象,即少数节点具有较大的影响力,普通节点虽然数量较大,但其影响力普遍较小.
Abstract:
With the rapid development of the Internet，the study of the influence of social network nodes has become a hot spot． Influence analysis has great significance to the understanding of online rumors，information，virus transmission and so on． Current researches focus on how to evaluate and measure influence，and there is few mechanisms that quantify the impact from individual to group． We regard influence as a kind of power that can be transmitted along the network，and the impact of individual is the degree of transferring power．Based on this，we propose an algorithm of the influence of the individual on the group based on the centripetal centrism and node contribution． The comparison between the proposed algorithm with mediating centrality，k－shell and PageRank，and the propagation experiment of infectious disease transmission model show that it has effectiveness and accuracy to represent the influence of the individual to the group． Through the research of node frequency distribution on each interval segment of the influence of the individual on the group，its value shows power law distribution and has scale－free phenomenon，that is，a few nodes have great influence． Although the number of ordinary nodes is large but has small influence generally．

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更新日期/Last Update: 2018-12-10