Abstract
Based on the topic leading mechanism of counselors in social networks, this paper studies the mining of opinion leaders and the impact of opinion leaders on community evolution. Firstly, the topic community is obtained by topic recognition of microblog real text data, and a graph model is constructed according to the interaction between users. Then, potential opinion leaders are mined by using graph theory algorithm to find the central node, and the topic evolution model is used to judge the evolution centrality of potential opinion leaders. Finally, it analyzes the influence distribution and dissemination rules of users in the theme community, and excavates more accurate and effective opinion leaders. The experimental results show that the algorithm can effectively mine the potential opinion leader nodes, and obtain high support rate, which is helpful for the counselors to fulfill their education management responsibilities with the help of network platform.
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