Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
