研究加权网络中社会增强效应、连边权重和网络结构非局域性效应对于信息传播的影响。将网络个体间的亲密程度定义为节点之间的共同邻居数,并基于亲密关系赋予边权值。通过研究发现,当个体越倾向于接受亲密朋友的信息的时候,信息越不容易大范围传播,即强连接会降低传播范围;反之,当个体倾向于接受非亲密朋友的信息的时候信息更容易大范围传播,即弱连接会增加传播范围。强化效应强度较小的时候,随机网络可以比规则网络传播范围广,反之规则网络传播范围更广。
In this paper we study the impacts of social reinforcement, edge weight, and the non-locality effect of network on information spreading. Intimacy between two nodes is defined as the number of their common neighbors, and edge weight is defined based on its intimacy. We show that when an individual has the larger tendency to accept information from close friend, the less likely a wide range of information dissemination, in other words, strong ties will reduce the range of propagation. On the contrary, when an individual has the larger tendency to accept information from estranged friend, the more likely a wide range of information dissemination, in other words, weak ties will enlarge propagation. Meanwhile, we find that when the social reinforcement strength is small, information transmission in the random networks will have wider spread range than in the regular networks. Otherwise, the result will be opposite.