Network Information Dissemination Research Based On The Node State

Nowadays,the manner people obtain and spread information is not limited to communication with face to face.On the internet online social platforms,a bond is rapidly established by people to exchange various information,which made the information dissemination rapid and simple.The information dissemination in the real life is closely concerned with the network of the information dissemination and the behavior of information disseminator.In the related study,the topology and characteristics of the network are required to enough understand at first.Afterwards,it needs to conscious of the influence for the individual who spread information to the information dissemination.The last is to consider that the influence of the characteristics for information itself on the propagated process.Therefore,it is significant important to study information dissemination from the perspective of network node.The content consists of four parts in this paper.The first is certain basic property,such as the degree of node and the distribution of degree,the average path length,the clustering coefficient,based on the complex network to construct novel network model.The second is to propose information dissemination model based on the classical infectious diseases model.The third is to classify nodes in the network according to the ability of dissemination or the dissemination behavior.The last is to consider the influence of the characteristics for information to the information dissemination during the process of the information propagated.The specific details are as follow.(1).The influence of the node,which is altered with time,is proposed to reflect the propagation ability of the information disseminator for the significance of the information propagation in the actual situation.Therefore,the influence of the node is divided into the high-impact node and the low-impact node.Furthermore,the SSIR information propagation model is proposed and the dynamic BA scale-free network is constructed to carry out evolution of node impact based on secondary propagation experiments.The experiment results indicate that three stages,including the initial stage,the rapidly rising stage and the stable stage.The propagation details of the different messages are distinct.However,the trend of propagation is similar.(2).The homogenous node group and the classification method of the homogenous node group are proposed that aggregates multiple individual nodes of the same characteristics into a node group.The node community is defined to quantify the factor of node state transition.The information intensity is applied to describe the heat of information in the process of propagation and is divided into two cases,constant state and varied state.Experiments reveal that the informati on intensity is constant,the greater the node community,the easier the homogenous node group expands,the greater the information dissemination speed,and the larger the information dissemination range.When the information intensity is altered,the rang e of the information dissemination is expanded with the i ncreasing of the information intensity,and then,shrunk with the attenuation of the information intensity,finally,returned to zero with the complete failure of the information intensity.