Computer Engineering and Applications ›› 2017, Vol. 53 ›› Issue (11): 151-154.DOI: 10.3778/j.issn.1002-8331.1512-0363

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Analysis of node influence by fusing behavior and semantics

ZHANG Huibing1, HE Caimei1, HU Xiaoli1, PEI Dongliang2   

  1. 1.Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China
    2.State Grid Henan Electric Power Corporation Maintenance Company, Zhengzhou 450001, China
  • Online:2017-06-01 Published:2017-06-13

融合行为和语义的节点影响力分析

张会兵1,何彩梅1,胡晓丽1,裴东良2   

  1. 1.桂林电子科技大学 广西可信软件重点实验室,广西 桂林 541004
    2.国网河南省电力公司检修公司,郑州 450001

Abstract: Research on the influence of nodes in social networks plays an important role in the field of information dissemination, public opinion supervision and social commerce. The analysis method of node influence fused behavior and semantic is presented. Firstly, the time decay behavior matrix method based on the Cox model is used to calculate the influence of recipient behavior. Secondly, the influence of the giver behavior is calculated by the method of semantic analysis. Finally, the influence of the node is presented by recipient behavior and giver behavior. The simulation experiments show that BSA method can reflect the influence of the nodes in the social network exactly.

Key words: social networks, node influence, behavior matrix, semantic analysis

摘要: 社交网络中节点影响力研究在信息传播、舆情监督、社会化商务等领域有重要作用。提出融合行为和语义的节点影响力分析方法——BSA(Behavior and Semantics Analysis)方法。该方法先通过基于Cox模型的时间衰减行为矩阵方法计算受者行为影响力,然后通过语义分析方法计算施者行为影响力,最后融合施者行为影响力与受者行为影响力来计算节点的影响力。仿真实验表明,提出的方法可以较真实地反映社交网络中节点的影响力。

关键词: 社交网络, 节点影响力, 行为矩阵, 语义分析