Research On The Credibility Of Micro-blog And Micro-blog Event Prediction

With the popularity of WeChat,micro-blog,Tumblr,Twitter and other social software,social software has begun to enter people's daily lives,and life is essential software.The popularity of social software has produced a huge amount of information.A lot of information contains a lot of valuable information,there are some junk information,therefore,the analysis of the data generated by the social software platform has gradually become a hot topic.In this paper,taking micro-blog as an example,this paper focuses on the calculation of the credibility of micro-blog and micro-blog events forecast two issues.Micro-blog is an open platform,users can freely publish any information,which makes micro-blog some false information is spread,many false information may even cause serious damage to the enterprise or individual,so micro-blog credibility calculation,whether for business or personal is very important.Micro-blog event prediction is to analyze and predict the future development trend of micro-blog information,such as the number of points,reproduced,the number of replies,based on the above parameters to predict the characteristics of micro-blog information dissemination.Micro-blog event prediction can become the basis for government departments and enterprises to provide decision-making,so that government departments can better monitor public opinion and emergency treatment.The main research contents of this paper can be divided into the following two points:One is to put forward a way to judge the credibility of users according to the history of micro-blog.In the process of determining whether micro-blog is credible,we have adopted a method of determining the credibility of the subject or the incident.The method is to identify the valuable information and news on micro-blog Web links as the premise,the credibility of strict examination,the text analysis of the micro-blog related news title meaning,and introduces two kinds of the refinement of the results returned by the search engine.In addition,studies and analyzes the characteristics of micro-blog users and micro-blog users of the credibility of the contact,such as what time after registration,real name authentication or not,users are interested in the number of users interested in the number of.Two is to put forward a way to predict the trend of micro-blog events,the main use of the trend of the simulation micro-blog is reproduced as well as micro-blog events classified to analyze the future trend of micro-blog reproduced.