Research on the discovery of opinion leaders in social networks

2019 International Conference on Advanced Electronic Materials, Computers and Materials Engineering

无线电电子学;计算机科学;材料科学

Zhou, Chufeng^1 ; Guan, Xinxin^1 ; Li, Yeli^1 ; Zeng, Qingtao^1

School of Information Engineering, Beijing Institute of Graphic Communication, Beijing

102600, China^1

关键词: Analysis method;    Community structures;    Human lives;    Knowledge and experience;    Opinion leaders;    PageRank algorithm;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/563/3/032009/pdf
DOI  :  10.1088/1757-899X/563/3/032009

来源: IOP

【 摘 要 】

Since entering the era of Wed 2.0, social networks have been an indispensable part of human life. At present, these social networks are the main source of information dissemination and alienation, and they play a key role in the process of dissemination and are the central users of social networks. Central users have an incredible ability to communicate in their community, and their knowledge and experience of things have a great impact on other users in the community. This research mainly uses the analysis method of social network to analyze the community and find the central users in the community. We use Louvain algorithm to identify the community structure in social networks, and on this basis we use PageRank algorithm to analyze the central users in each community.