Research On The Calculation Model Of Node Influence In Weibo

With the continuous development of society and technology,information networks have been continuously popularized,and the links between individuals have become more and more complicated.According to the latest data,as of December 2018,the number of Chinese netizens reached 829 million,the number of mobile Internet users reached 871 million,and the Internet penetration rate reached 59.6%.Along with the popularity of the Internet,various social platforms are also emerging such as Facebook,which was launched in the United States in 2004,and Twitter,which was established in 2006.In August 2009,China Sina officially launched "Sina Weibo".Weibo has been in development for 10 years,with a monthly active population of 400 million and a daily active population of 200 million.This shows that Internet-based social platforms have penetrated into every aspect of people's lives.At the same time,we can find Weibo as the main social media in China.Its platform role is constantly highlighted,and the users with great influence in Weibo can influence the public's emotions on the platform,affecting the trend of public opinion,in politics and variety.In terms of entertainment,commercial promotion and other aspects,it has an absolute influence.Influence can control the dynamics of social networks and the behavior of related users,so the research on the analysis,dissemination and modeling of the influence of social network nodes has important theoretical and practical value.First,analyze the field of influence of the entire social network.Firstly analyzes 691 articles obtained by China Knowledge Network and 1764 articles on social network related research obtained by Web of Science,through Citespace software,from the countries,research institutions,keywords,and cited documents.As well as the cited authors,journals and other aspects,the mainstream research direction,research frontiers and research hotspots of current social network research are analyzed.Secondly,proposed a three-degree influence calculation model for Weibo users,which is calculated from the content information of blog posts,the emotions of blog posts,the forwarding,comments and praise behaviors of fans,and finally comprehensively evaluates user influence through coverage.Using Zhang Huaping's NLPIR semantic analysis system to extract keywords in blog posts,calculate the influence of blog posts through information entropy;define the emotional intensity and positive and negative polarity of emotional words,and formulate calculation rules to calculate the emotional influence of emotional words,sentences and blog posts;The degree of influence principle is applied to the calculation of influence,and the influence of three-layer user forwarding,commenting,and praise behavior is calculated.It makes up for the singularity of the computational level,expands the depth and breadth of communication,and more accurately calculates the influence of users.Finally,compared with other algorithms,the results show that the computational model proposed in this paper is more accurate and effective than the similar model.