从众效应下的网络舆论演化

Network Opinion Evolution with Considering the Herding Effect Influence

针对传统舆论演化动力学研究忽略个体决策内驱力的问题,将有限信任模型与社会心理学从众效应理论相结合,建立依从、趋同和内化3种个体状态及状态转移策略,提出了基于期望牵引力和信任邻居群的动态决策演化模型.实验结果表明:在从众效应和期望牵引力共同影响下,观点出现收敛和分化,并存在小幅震荡;依从节点不会在演化稳定后消亡,而是保持低密度存在;与传统有限信任模型相比,进一步刻画社会网络中群体舆论演进和个体交互的行为特征,揭示了群体层面观点演化内在规律.

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 exceptiontraction 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 'Compliance'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.