Identification And Impact Analysis Of Opinion Leaders In Network Community

The network community is a virtual community in which users with the same interests share their opinion and communicate with each other.In the community,active users are often the focus of attention,and most of them become a real star in the network community.Such people in the past research is called "opinion leaders".In the network community,the opinion leaders lead the communication process of the whole network community.They are the main provider of content and direction of the network community,and play an important role in the construction of the network community environment.For each network community,every opinion leader is a very valuable resource.The sooner the opinion leader are identified,the more advantages benefit the development of community and the improvement of community.For this purpose,the paper tries to identify opinion leaders in social networks.In this paper,the answering community named "zhihu" is studied.Based on the behavior of users in the network the paper analyses and summarize user behavior from both influence and activity,and constructs the index system to identify the opinion leader.By using this index system,the sampling data is modeled by the method of system clustering,and the opinion leaders are identified successfully from the user's behavior data.Through the behavioral characteristics of the opinion leaders,we extract the clustering center users and identified the large sample of opinion leaders in the K-means cluster and EM cluster,and prove that the user characteristics of opinion leaders' identification is feasible.Finally,through the analysis of the user behavior characteristics and clustering results,this paper summarizes the behavior characteristics of Internet community opinion leaders,and puts forward some opinions and suggestions for the Online Community.