基于社会网络冲突信息传播的群体特征

当两种冲突信息在社会网络上同时传播时，社会群体呈现的特征值得研究. 依据复杂性科学和社会学研究的有关理论和方法，利用了网络传播的SIR模型，建立了信息的传播演化模型. 在传播过程中引入个体处理冲突信息的三种行为方式：先入为主、从众行为和领导意见，并在大规模社会网络上进行了不同行为方式传播模型的对比研究. 研究表明，社会网络的结构和个体行为的倾向对信息传播结果有显著影响. 由局域性相互作用发展为集体行为，整体特性比局部特性呈现出更多的变化趋势. 研究结果有助于解释大规模社会群体呈现出的某些特征，如群体极化和群体多样性等现象.

Population characteristics based on conflict information spreading on social network

Population characteristics deserve closer study when two kinds of conflict information spread over social network at the same time. According to complexity theory and sociology achievement, we developed conflict information spreading model by using SIR model on network. Here we introduced three manners for individual to resolve conflict information involving "first impressions are strongest", "herd effect" and "leader opinion" into the spreading process, and then conducted contrastive experiments of the model corresponding different behaviors on the large-scale social network. The experiment results show that social network structure and individual manners significantly affect the information spreading. From local interactions to collective behavior, global feature has more diverse trends than local feature, and this study will contribute to the explanation of large-scale population characteristics such as go to extremes and diversification.