%0 Journal Article
%A GAO Feng
%A WANG Bai
%A WU Bin
%A ZHANG Feng
%T Network Opinion Evolution with Considering the Herding Effect Influence
%D 2014
%R 10.13190/j.jbupt.2014.s1.003
%J Journal of Beijing University of Posts and Telecommunications
%P 12-17
%V 37
%N s1
%X <p>In order to solve the issue that the individual driving force lacks in traditional opinion model, a dynamics opinion model based on expected attraction and trust neighbor mass(DOET) model-dynamics opinion model based on expected attraction and trust neighbor mass is proposed. It combines exception-traction and herding effect which can establish state transfer and three kinds of opinion decision. The opinion is formed through DOET model with considering two factors of internal expectation attraction and trust neighbor mass. Experiments show that this model can simulate unification, polarization and mild concussion of opinion under influence of exception-traction and herding effect; because of network structure and distribution of initial opinion, the &quot;Compliance&quot; node is not disappeared but kept in existence. Also, DOET model is correspond to the characteristics of opinion formation and individual interaction with comparing existing opinion model. Consequently, this model can express internal disciplines also can be referred to the network analysis in opinion formation.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2014.s1.003