Research on opinion Spreading model based on local individual interaction
基于个体局部交互作用的舆情传播模型研究

By taking into account individuals' interaction behaviors in social networks, this paper presented a new opinion spreading model based on the possibility that accepting neighbors' opinions. The model supposes there were two kinds of opinions in the systems: agree and disagree, and there were two kinds of persons hold their unchangeable opinions. The third kind of person discussed with a random selected neighbor, and accepted his/her opinion with a possibility. The simulation and theoretical results show that, in the final state, the percentage of the persons with different opinions is constant, which depends on the initial state and irrelevant with the accepted possibility. This work indicates that the initial state is very important for the opinion spreading.