在舆论的形成过程中，意见领袖起着重要的推动作用，甚至可以影响舆论的走向。目前已有的意见领袖相关研究多为基于社会网络分析的识别方法研究，未能对识别出的意见领袖根据不同特点、功能、地位等进行阐述划分。本文针对已有研究现状，首次将动态网络分析法应用到网络意见领袖的识别研究中，详细介绍了网络舆论动态网络元矩阵和各个子网络层的建立，并应用相关测度指标识别出网络舆论中的六类不同特点意见领袖：焦点人物、传播人物、活跃人物、潜在活跃人物、讨论帖独占人物和关键词独占人物。最后通过实例应用，证明动态网络分析法在意见领袖识别研究中具有可靠性和创新性。
Abstract
Opinion leaders play an important role in promoting the formation of public opinion, which can influence the direction of public opinion. Existing research in opinion leaders focused on the recognition methods based on Social Network Analysis but not on different characteristics, functions and status of the opinion leaders. Due to shortage of existing research data, first of all, we use the Dynamic Network Analysis(DNA)to recognize the opinion leaders of online communities, and describe the establishment of meta-network and sub-network layers of online communities in details. Then, we propose six categories of opinion leaders and use some related measures to recognize the six categories of opinion leaders: the focal people, the spread people, the active people, the potential active people, the exclusivity people of posts, the exclusivity people of keywords. Finally, we show the feasibility and innovativeness of this method through a case study.
关键词
动态网络分析 /
网络舆论 /
意见领袖
Key words
dynamic network analysis /
online public opinion /
opinion leader
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基金
国家自然基金委重大研究计划“非常规突发事件应急管理研究”培育项目：“非常规突发事件中社会舆论形成、演化、引导、干预的系统建模与仿真分析”（项目批准号91024010，91324009）；中国科学院创新团队项目（KACX1-YW-1011，GH13041）；中国科学院科技政策与管理科学研究所青年基金（Y201201Z06）。
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