Research On The Opinion Leaders Of Microblogging Based On Social Network Analysis

Social network analysis is a type of analyzing tool aimed on the structure of the whole society of the network, which is being able to figure out the structure of the social network and the importance of its node. Social network analysis starts from the link of nodes within the network, then describes the position, distance and etc. of the node.Weibo, becomes one of the most popular social network platforms in the recent years which attracts a lot of users to sign up and post thousands of weibos per day due to its features of low register entry, highly real-time reflection, pluralistic data format, and celebrities interactions. There definitely would be massive fake and unreal news and rumors among these great quantity information, thus it is necessary to block the unreal information in order to keep the reliability and stability of the Weibo. Based on the research, it is obvious that some weibo can receive a large amount of repost and comments and cause a huge impact after being reposted by certain users who are called as Weibo opinion leaders. In conclusion, the monitor of the public sentiment of the Weibo can be achieved by monitoring the Weibo opinion leaders, thus it is meaningful to do the research on these Weibo opinion leaders.This paper takes the social network analysis method to find out the opinion leader of the food safety topic of the Weibo. The paper fetches the data regarding to the safety of the transgenosis food based on the provided Sina Weibo API, and build up the Weibo social network of the transgenosis food, then analyze the network from its centrality, density and factions to comprehensively figure out the opinion leader of this topic. In order to prove the reliability of the above research result, the paper also brings the layer analysis and successfully verifies that the feasibility of using social network analysis to find out the Weibo opinion leader.