Recognition of opinion leaders based on dynamic network analysis

Abstract

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.

Key words: dynamic network analysis, online public opinion, opinion leader

CLC Number:

C931

Ma Ning, Tian Ruya, Liu Yijun, Li Qianqian. Recognition of opinion leaders based on dynamic network analysis[J]. Science Research Management, 2014, 35(8): 83-92.

References

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