Research On The Impact Of Social Network Based On Emotions

In recent years,the influence of social network on communication has been widely concerned by researchers.Especially the network transmission problem based on emotion,rumors spread on social network monitoring,as well as to the user's emotional and mass analysis and prediction of emotion,has a very important research value.This paper studies the influence of social network based on emotion,which mainly includes the following aspects:1.Research on the model of social network transmission based on emotion and its impact on maximization.Psychology shows that emotions can influence behavior.Affected by the emotional factors in order to accurately depict the social network communication process,this paper presents a model of social network communication based on emotional E-IC model,the user's emotional spread into the whole process,get emotional transmission probability and calculate the user,make the communication process conforms to the propagation law.According to the e-ic model,the influence maximization problem based on emotion is proposed.In this paper,EMS-Greedy and Heuristic algorithm ems-heuristic are presented,and the validity of e-ic model is verified by experiments on large scale real data sets.2.Research on the problem of minimizing problems based on emotional rumors.In recent years,the freedom of information release mode completely subvert the traditional mode of media communication,and the spread of rumors and negative information through the network,tends to be in a very short period of time to form a powerful force of public opinion.According to this phenomenon,combined with a variety of rumor propagation law,by determining public opinion differences in emotion and emotion,building block model based on the emotion of rumors,and according to the information dissemination rule defined public opinion emotions.Based on the model,the author puts forward the relationship based on emotional rumors and minimization.And the EDMIN-G and heuristic algorithm EDMIN-H are given.The experiment on the real data sets verifies the probability of composite propagation and the rationality of the definition of public opinion and the validity of the algorithm.3.Research on prediction model of hot topic based on emotion.The popular trend of effective prediction has become an important part of social network business model,and it is also one of the important contents of public opinion risk monitoring.In this paper,the Epth model of prediction model based on emotion is proposed.Model,first of all,the text to the quantitative and classifying massive weibo data,then through text extraction users emotional vector and vector defined time,reuse the action log sequence and random walk algorithm for transmission,reuse length type memory network data training,according to the forward threshold change predict whether weibo can become hot.Through the experiments on real data sets,the hot topic in the validation based on emotional prediction model can effectively predict the spread of weibo trend,compared with only the prediction model based on topology,prediction accuracy has obvious advantages.