Research On Identification And Application Method Of Hot Topics On The Online Community

More and more internet public opinion are caused by hot topics and its hotevents, the hot topics identification and traceability in the online community is thekey question in the public opinion monitoring research. Information disseminationin the online community has the characteristics of pervasiveness, interaction anduncertainly, it’s difficult for the public opinion identification, traceability and guide.So it is necessary to research the hot topics identification, trace and guide in onlinecommunity for the public opinion monitoring and management. The research hasimportant theoretical significance and practical value.We research the problems of hot topics identification and guide by themethods class-entropy distance, maximum of deviation and social network theory.We calculate the weight of each attribute and the quality degree of each topic byanalyzing the character of the hot topics and using the class-entropy distancemethod, maximum of deviation method for realizing the hot topic identification;and on the basis of the hot topics identification, we mapped the topics eventsmembers and the relationship of return to social network, extract and quantify thenode’s attributes character, identify the hot events in the topics, identify the hottopic and the opinion leader in the hot topics by calculating the contribution of eachmembers within the same events and the similar events, achieve the hot topictraceability. We use experiments to test the methods’ effectiveness and rationality,and apply the knowledge of information management to create the hot topic leadingmechanism and design the guide process. Get the hot topics identification,traceability and guide methods, provide the theory foundation and practicalmethods for government monitoring network community mainstream opinions.