Collaborative Diffusion Model of Information and Behavior in Social Networks

Abstract

Information diffusion may lead to behaviors related to information content. This paper considers the co-existence of information and behavior diffusion in social networks. The state of users is divided into six categories, and the rules and model of collaborative diffusion of information and behavior are established. The influence of different parameters and conditions on the proportions of behavior diffusion nodes and information diffusion ones is analyzed experimentally. The results show that the proportion of nodes taking action in uniform networks is higher than that in non-uniform networks. Although users are more likely to take actions related to information content after spreading or knowing information, the results show that it has little influence on the proportion of users taking action. The proportion is mainly affected by the probability that users who do not take action become ones who take. The greater the probability, the less the proportion of nodes who know information. In addition, compared with choosing the same node as the initial information and behavior diffusion node, choosing different nodes is more beneficial to the diffusion of behaviors related to information content.