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Research On Information Transmission Rule Of Online And Offline Double-layer Coupling Social Network Based On Association Rule

Posted on:2019-07-17Degree:MasterType:Thesis
Country:ChinaCandidate:W J ShiFull Text:PDF
GTID:2359330545998427Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Social networks have the characteristics of dynamic interaction.Users not only obtain information from the online social networks,but also obtain information from the offline social networks.At present,most of the research on social networks is focused on single layer social networks,which are divided into online social networks and offline social networks.However,the spread of information in real life is generally conducted online and offline,and the overlapping of online social networks and offline social networks is a common phenomenon.Online and offline social networking is a typical double-layer coupling network.With the continuous expansion of online and offline social networking applications,online and offline communication and cooperation are more efficient.The social activities of users around the world generate huge amounts of data,and traditional methods can no longer meet the needs of data processing of double coupling social network.Therefore,how to make good use of these data to promote the spread of knowledge and culture is a question worthy of consideration.The main work of this paper is as follows:1.Constructing social network information propagation link prediction is the basis for studying the law of information dissemination.Through the questionnaire survey,the social network data under the campus line is collected,and the BP neural network algorithm is used to complete the prediction of the information propagation link of the offline social network.The survey found that the three factors influencing social activities under the offline are self mood,others' attitude and external environment.2.Based on the topology of the campus double coupled social network,combined with the infectious disease model,based on the association rules,the data generated by the information propagation between the two layer coupled network nodes is analyzed,and a model of the information propagation law of the double coupling network is proposed.The experiment shows that the information propagation law model can obtain the information propagation law with reference value,and has some reference significance for the research field of the social network information propagation law.3.This paper makes a comparative analysis of the information spread of the online social network and the double coupled social network,and finds some useful knowledge about the control of public opinion,the dissemination of knowledge culture and the promotion of commercial activities.In the process of disseminating information,we should first disseminate information through offline networks,and then disseminate information through online networks,which will achieve better communication results.For people of all ages,the effect of promoting the product and the knowledge of the national culture is different.It is better to set different promotion solutions for different age groups.The existence of social network immune nodes will accelerate the speed of information dissemination,but the transmission effect will be worse.
Keywords/Search Tags:Double coupled network, social network, link prediction, information dissemination, data mining, association rules
PDF Full Text Request
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