Research On Information Dissemination Mechanism In The Coupled Networks Environment

Nowadays,with the development of the Internet and the popularity of mobile terminals,different types of social networking are booming.As the carrier of information dissemination,Internet users frequent shuttle between the different network layers.The behavior of internet users leads to the information spreading cross the network layers.Therefore,the coupling network system which contains multiple basic network layers and which are connected with each other at the network layer nodes can reflect the real network environment.Research on Law of information dissemination in the coupling network environment and propose measures for the effective management of regulators has important practical and theoretical significance.This paper studies the characteristics of information communication and the behavior characteristics of users in coupled networks.Based on the classical SIR epidemic model,a new information dissemination model is established.The paper abstracts the effort of the coupled network as two kinds of nodes which will join the process of information spreading.We analyze the model and find that the system exhibits two equilibria.Numerical simulations verify the theoretical analysis.The result shows that the system has a prolonged relaxation time because of new nodes.The independent spreaders add the source for information,which results to higher spreading probability and wider spreading scope.On the contrary,the cross-network spreaders reduce the spreading.In a coupled network environment,it is critical to control the critical nodes that spread information across the network in order to prevent rumors from spreading across the network,reducing the impact of rumors.Based on the above conclusions,to put forward effective and targeted countermeasures for public opinion control in coupled network environment,we must identify key nodes in a coupled network environment.We introduce TOPSIS algorithm combining the structural characteristics of each node in different network layers of the coupling system,combining with various important elements,to evaluate the nodes' importance through analyzing properties of nodes in the two basic networks.Finally,this paper uses data simulation and empirical analysis to verify the feasibility and rationality of the algorithm.And the method provides a more effective and feasible countermeasure for public opinion supervision in the coupled network environment.