Research On Identification Of Network Opinion Leaders In Reverse Public Opinion

During the "Thirteenth Five-Year Plan" period,China is in a critical period of social transformation.Frequent social emergencies,coupled with the rapid development of the Internet and new media,will lead to the emergence and intensification of emergency public opinion on the Internet,and it will become more Complex and unstable.Nowadays,online public opinion has gradually evolved into a new form of "reverse public opinion".This new public opinion is more harmful than the ordinary traditional online public opinion.As a key node in the network information flow,the role of network opinion leaders in guiding online public opinion is becoming increasingly prominent.Therefore,the identification and research of network opinion leaders will help to find the opinion leaders in the event of reversal of public opinion,for the government,etc.Relevant departments reasonably guide these opinion leaders,so as to purify the network environment and maintain social stability and provide scientific data and theoretical guidance.This article is based on the Sina Weibo network platform,using Weibo in the topic of "Chongqing Wanzhou Bus Falling River Incident" as the research object and source data,and adopts research methods such as analytic hierarchy process,social network analysis method,and content analysis method,with the help of strides Analytical software,Sina Weibo API interface,web crawler,social network analysis software Ucinet,visualization software Netdraw,etc.,build a network opinion leader recognition model from the micro-blog influence range and influence depth to achieve the "Chongqing Wanzhou Bus Falling River" Events "Identification of online opinion leaders in Weibo topics.