Design And Implementation Of Complex Network Based Public Opinion Analysis System

With the rapid development of internet and growth of social network users,the economic globalization,the social complexity and natural environment are worsening,there have happened a number of mass emergency incidents in recent years in China.At the same time,with China's current reforms deepening gradually and the rapid social development,the public's adaptability to various new things on the Internet is still in an adjustment phase.This makes it easy for emergencies to have a wide range of impacts on the Internet,and have a serious influence on social groups mentally and behaviorally.The scope of the impact is enormous and brings many serious challenges to the national emergency management.In recent years,there have been many cases in foreign countries that use social networks to instigate mass incidents,such as the Libyan revolution that uses Twitter to subvert the domestic regime and the London riots that have brought serious security concerns to Britain.Social networks are the source of their policies.There are also many similar incidents in China,such as the irrational salt-sweeping events of Chinese after the Japan earthquake in 2011 and Southern Weekend special-year demonstrations in 2013.Therefore,from the viewpoint of society and maintaining the stability of the country,the public opinion analysis and emergency management methods based on the theory of complex networks and related emerging social network analysis theories have great significance for China's national and social stability.This article mainly completes the following five points of work: from the demand of public opinion software to analyze the domestic and foreign related software and design software system of target in paper;this paper studied the basic theories of complex networks,especially the parts of theory that are closely related to social Network structure analysis and information dissemination;this paper uses an intelligent social network information collection method to study the intelligent template acquisition technology based on the anti-reptile technology adopted by current websites such as Sina Weibo,Tianya Forum and Kaidi Community and this method can collects the information from open information sources quickly and timely;this paper designs algorithms and software for relationship analysis and development and structures an improved LPA community classification algorithm based on edge parameters overcoming the traditional defects ofLPA algorithm and greatly improving the operating efficiency of LPA community classification algorithm;this paper structures an opinion leader discovery algorithm based on node centrality to find opinion leaders in large-scale social networks quickly and structures relevant analysis software according to it,which can perform actual data operation and analysis.