| In modern times,with the development of Internet technology,online social network is closely connected with people's life,Its appearance not only brings people closer to each other,but also improves people's life.Its related research results have a wide range of applications,It can not only be applied to the public domain such as network security and emergency prediction,but also can be applied to personal fields such as friend recommendation and influence analysis,etc.The measurement of user influence is one of the core issues of online social network influence analysis.It can correctly identify influential users of social networks,find the useful information,in this way we can better analyze online social network.In order to realize the reasonable measurement of user influence,this paper mainly studies the method of finding large influence node based on the principle of structure hole,user influence measurement algorithm based on user behavior and structure hole.The specific content and the research results were as follows:1.In order to solve the problem of non-redundant information in the network is not fully considered in the traditional user influence measurement method,according to the relevant research,considering the influence measurement based on the structure hole principle,and it can make good use of non-redundant information.Therefore,this paper studies the method of finding large influence nodes based on the principle of structure hole,by the analysis of the advantages and disadvantages of each evaluation index of the structure hole.Finally,the network constraint coefficient is selected as the main evaluation method and the further research was done.Then this paper analyzes the problems existing in the method of structural hole evaluation,and the evaluation algorithm of the structure hole is improved due to the problem of it fails to consider the influence of user behavior on the weight of the network,and the three-layer topological relationship between the node,the adjacent node and subjacent node.Based on the experimental data of sina weibo,the results show that the algorithm improves the effectiveness and accuracy of the recognition of the structure hole nodes.2.In this paper,the user behavior factors are briefly introduced and analyzed.It is found that user behavior factors with interactive attributes have good effect on user influence measurement.In this paper,the author selects forward,comments and mentions three kinds of user behaviors to measure the user's influence and construct their own behavior network.The three networks are integrated scientifically,and finally the integrated network G{V,(E,D)} is constructed.At the end of the chapter,combining the research achievements of structure hole principle for big influence node and the network edge rights of user behaviors,the user influence measurement model based on user behavior and structure hole is constructed.Relevant experimental results show that,in terms of effectiveness and accuracy,the effect of this model measures user influence is better than that of the comparison algorithm. |
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