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Chinese Journal of Management Science ›› 2014, Vol. 22 ›› Issue (10): 136-141.

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Leader-Guiding Model of Online Opinion Supernetwork

TIAN Ru-ya1,2,3, LIU Yi-jun1,2, NIU Wen-yuan1,2   

  1. 1. Institute of Policy and Management, Chinese Academy of Sciences, Beijing 100190, China;
    2. Center for Interdisciplinary Studies of Natural and Social Sciences, Chinese Academy of Sciences, Beijing 100190, China;
    3. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2012-12-18 Revised:2013-06-18 Online:2014-10-20 Published:2014-10-20

Abstract: Monitoring and management of online opinion are related to the safety of online society, reflecting the managers' capabilities of social management and maintenance of social harmony, and therefore increasingly become a hot topic. To settle this problem, Leader-Guiding Model (LGM) is proposed to study the mechanisms and effects of online opinion guiding. LGM is based on the online opinion supernetwork that can describe the characteristics of online opinion. Online opinion supernetwork includes social subnetwork, environment subnetwork, psychology subnetwork, and viewpoint subnetwork. Superlink prediction algorithm is used to provide a theoretical basis in selecting guiding objects. The simulation results prove that quantitative intervention strategies and influence mechanisms of elements in supernetwork can be obtained by using LGM to guide online opinion, which provides a brand new quantitative method in guiding online opinion.

Key words: Leader-Guiding Model, opinion guiding, modeling and simulation, superlink prediction

CLC Number: