为研究拓扑结构对网络宏观舆论的影响作用,构建了两类观点交换规则,并以此为基础在随机网络、小世界网络和无标度网络3种拓扑上进行了舆论演化的数值仿真.结果表明,充分的观点交换有利于宏观舆论的统一;网络的异构性可以促进少数群体在舆论的演化过程中最终取胜;降低个体间的连接程度和加强网络的异构性都会增加宏观舆论观点的极化或分裂的可能性.
Two types of viewpoint exchanging rules are constructed for studying the effect of topology structure on Internet macroscopic opinion spreading. Basing on these rules, opinion formations are simulated on random networks, small world networks and scale-free networks. The results indicate that sufficient exchange of viewpoint would be propitious to reach macroscopic unified consensus. And the heterogeneity of networks could give a boost to the win of minority in opinion evolution. Further, it could increase the possibility of macroscopic opinion polarization or disruption that links between agents are reduced, or the heterogeneity of networks are enhanced.