基于社交网络的社交行为分析  

Social Network Based Social Behavior Analysis

作　　者：李磊[1] 汪萌[1] 吴信东[1,2] 

机构地区：[1]合肥工业大学计算机与信息学院,合肥230009 [2]路易斯安那州立大学计算机与信息学院,拉斐特70503

出　　处：《电子与信息学报》2017年第9期2108-2118,共11页Journal of Electronics & Information Technology

基　　金：国家973规划项目(2013CB329604);国家重点研发计划(2016YFB1000901);国家自然科学基金(61503114)~~

摘　　要：近来,社交网络类应用得到了迅猛发展。其中,社交网络相关的社交行为是最主要的发展方向之一,得到了学术界研究者的广泛关注。该文从行为的成因、行为的表现及行为的影响3个方面对社交网络行为进行全面分析。具体来说,在分析了社交网络行为的基础概念之后,首先引入了社交网络行为的3个最重要的原因:用户采纳、用户忠诚和用户信任。然后,基于这些原因,从一般使用行为,内容生成行为和内容消费行为3个常用行为方面分析了用户在社交网络上的行为表现方式。最后,该文分析了社交网络行为的影响,包括行为影响力衡量和行为引导两个最重要角度。社交行为的系统性分析为下一步相关研究指明了方向。Recently, social network applications develop dramatically. Social network related social behaviors are one of the most important areas, which receive broadly attentions from researchers in academics. This survey paper analyzes the social behaviors comprehensively with respect to the causes of social behaviors, the performance of social behaviors and the influence of social behaviors. More specifically, after analyzing the basic concepts of behaviors in social networks, the three most important causes of behaviors in social networks are firstly introduced, such as user adoption, user loyalty and user trust. With these causes, the performance of user behaviors in social networks can be analyzed with respect to three common behaviors, including general usage behaviors, content creation behaviors and content consumption behaviors. Finally, the research on the influence of social network behaviors is presented, which includes the most important aspects, such as influence evaluation and behavior induction. The systematical analysis of sociM behaviors points out the future directions of related research in next steps.

关 键 词：用户行为 社交行为 行为建模 行为成因 行为表现 行为影响 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]