Research On The Network Characteristics And Dynamic Evolution Of Microblog Topics

Microblog is a social networking platform for real-time information sharing.The social relations are established through the “concerning” relation between users.And the message on the Internet is spread by the “forwarding”,“commenting” and other action of users.With the rapid development of microblog,many social problems may arise,such as rumors,false information and so,which will result in serious consequences.It is a significant and challenge issue to study on Weibo topic with respect to network topology,dynamic propagation regularity and characteristics.The results of this research can be used to help prevent the spread of harmful information in Weibo.Complex network is a new emerging field which concerns the method for complex systems in nature or real world.In this thesis,complex network theory is used to analyze the network characteristics and dynamic evolution law of microblog topic network.Firstly,after preprocessing the microblog data collection,the topics of the text and time information are extracted to build the microblogging topic network.Secondly,the topic network is analyzed based on complex network theory.We investigate the basic topological structure,complex network model,centricity characteristics,degrees and correlation characteristics etc.,the results reveal the propagation characteristics of microblogging topic and the characteristics of central hot topic in microblog.With the results,strategies to govern microblogging topic information are presented.Further more,based on the method of complex network,the evolution properties of the microblogging topic network is analyzed.According the time label of microblogging topic,the time evolution property of microblogging topic is induced,and it is verified that microblogging topic is a time-dependent transmission network,and lastly,an early warning management strategy based on microblogging topic lifecycle is proposed.The result shows that the topic spreads rapidly in a period of time after its appearance,then into a decline phase,the topic spread presents a power-law linear downward tendency,the change of the total life cycle curve is in accordance with the power curve distribution;each topic has a time threshold,if larger than the critical value,the topic of transmission network quickly evolved with the characteristics of small-world and scale-free network,the degree of distribution points from the exponential distribution.In this thesis,we study the automatic processing mass microblog information,build social media network,quickly find hot topics in the microblog,public opinion analysis and early warning,etc.Undoubtedly has important research significance.