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. [ABSTRACT FROM AUTHOR]