Research On The Promotion And Suppression Methods Of Information Dissemination Across Groups

In the Internet era,people are immersed in colorful online social activities.In various online social platforms,the information and datum are generated and spread rapidly with people's frequent social behaviors.Most of the researches explore the network structure and user behaviors to discover the model of information dissemination,and further analyze the effective methods to promote and suppress information dissemination.According to the clustering characteristics of social networks,this thesis focuses on the information dissemination across different groups with the following two aspects:The cluster feature of social network makes the information dissemination among groups present weak interaction,which hinders the wide spread of information to some extent.In order to enhance the spread of information among groups,thesis proposes a interconnection model based on bridge community across groups by analyzing the community structure of social networks.According to the different distribution of nodes,the model has set up two different standards about comprehensive importance within the group and community affiliation between groups,which can respectively select important node.The selected node and their relationship have formed a subnet as bridge community to connect groups.Then the model has been built based on bridge community.The experiments have been carried out on three real data sets combined with an independent cascade model,and the model showed good information capability across groups.Compared with Page Rank and Leader Rank,this model has a more enduring diffusion ability for information dissemination.With the increasing influence of network public opinion on the real society,there are many types of nodes for information communication.The selections of driver nodes have been only according to a single analysis of node structure or user analysis,and the control effect is limited.This paper proposes a control method of information transmission based on interest characteristics of users.Based on the analysis of user interest characteristics,users are divided into two types: open type and conservative type.Then combining the results of user classification and the method of selecting driver nodes to select the least driver nodes,the promotion and control method of information dissemination is formulated.Finally,the SIR model is used to simulate the change of user status in the process of information transmission.The experimental results verify that the driver nodes selected by the promoting and suppressing methods play an effective control effect.Through the experiment of data set of weibo user and algorithm comparison,the promotion and suppression methods proposed in this paper both show good control ability of information transmission.