Impacts of Individuals’ Trust in Information Diffusion of the Weighted Multiplex Networks

In the recent years, information diffusion and strategy interaction on the multiplex networks have been greatly researched. Some significant progresses came at stochastic spreading models. However, the influences of individuals’ trust on strategy interaction and cooperation evolution were generally overlooked. Actually, in real social networks, the different trust levels of individuals are important factors in the information diffusion. Here, we will play some strategy games among individuals, as well as communities or groups in the weighted multiplex networks, to explore the effect of individuals’ trust on strategy interaction and cooperation evolution. Each individual uses a cache to storage certain length of previous strategy status, which indicates the individual’s trust degree on the strategy. When consecutive identical cooperation strategies occur in the individual’s cache, and exceed the certain threshold of strategy memory length, the cooperation strategy will be adopted in next interlayer and intralayer interactions, so as to explore community level diffusion. The results show that the individuals’ trust levels highly affect the strategy interaction and cooperation evolution in multiplex networks. The cache length of consecutive identical cooperation strategy is also the key parameter for information diffusion, and the tight degrees between different layers of networks together. This work will be helpful to understand cooperation dynamic and evolution in weighted multiplex networks.