The Research on Dynamics Evolution Patterns of Online Public Opinion
Dynamics evolution patterns play an important role on Public opinion nowadays. In this paper, developing rules and trends are discussed by means of Petri method of online public opinion. The public opinion online was analyzed as a stream from which the conception of public opinion stream was proposed and its control pattern was developed as well. Based on these, correlation degree variables between social network cluster nodes were dynamically introduced, and general rules of public opinion streams between associated network cluster organizations were studied. The Public-opinion-stream correlation control pattern which can regulate the relationship of social network cluster nodes and verify the empirical research of sociology, journalism and psychology. At last, artificial intelligence and decision support can be supplied to relevant industries by instructing system design and management system.