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在线社交网络影响力分析

Influence Analysis of Online Social Networks

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【作者】 吴信东李毅李磊

【Author】 WU Xin-Dong;LI Yi;LI Lei;School of Computer Science and Information Engineering,Hefei University of Technology;Department of Computer Science,University of Vermont;School of Computer Science and Technology,Beifang University of Nationalities;

【机构】 合肥工业大学计算机与信息学院佛蒙特大学计算机科学系北方民族大学计算机科学与工程学院

【摘要】 社交影响力分析是社交网络分析的关键问题之一.近十几年间,随着在线社交网络的蓬勃发展,研究人员才开始有机会在大量现实数据的基础上对社交影响力进行建模和分析,并取得了丰硕的研究成果和广泛的应用价值.文中回顾了近些年在线社交网络影响力分析的主要成果,阐述了社交影响力的相关概念和它们之间的关系,重点从网络拓扑、用户行为和交互信息等几个方面总结了影响力分析的建模和度量方法,介绍了与影响力传播密切相关的意见领袖发现和影响力最大传播问题的研究现状,并对在线社交网络影响力分析的前景进行了展望.

【Abstract】 Social influence analysis is one of the major research focuses in Social Network Analysis. Over the past decade,benefiting from the rapid development of online social networks,researchers began to have the opportunity to model and analyze the social influence based on the vast amount of realistic data,and they have achieved fruitful research findings with great application values. This paper reviews important achievements on influence analysis of online social networks in recent years.First,the concept of social influence is elaborated with comparison to related definitions.Second,we discuss modeling and measuring for social influence analysis with respect to network topology,user behavior and interaction information.Third,two important problems, discovering opinion leaders and maximizing the spread of social influence are introduced in a close context to social influence spreading.Finally,we conclude the paper with an exploration of future research directions on influence analysis of online social networks.

【基金】 国家“九七三”重点基础研究发展规划项目“社交网络分析与网络信息传播的基础研究”(2013CB329604);教育部创新团队项目“多源海量动态信息处理”(IRT13059)资助~~
  • 【文献出处】 计算机学报 ,Chinese Journal of Computers , 编辑部邮箱 ,2014年04期
  • 【分类号】G206
  • 【被引频次】410
  • 【下载频次】12400
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