Research On The Communication Mechanism And Influence Of Traffic Congestion Information On Social Networks

In today,social networks become a indispensable way for people daily com-munication,and the changes in the traditional way of traffic information release: published in social network traffic information through their own experience more and more users and traffic information in social networks also have great influence to receive information of other users,the user traffic information through interpretation,according to their own demand probability forward information,makes the information transmission range increasing in social network,so that more and more people saw the traffic information,impact on real-time traffic management.Based on the traffic congestion information of traffic information as the subjects of study in social networks and traffic information extraction in related to virtual network platform,combining with the information communication and the basic knowledge of traffic engineering disciplines,solve the traffic congestion in the social network information communication mechanism and the influence of this problem,mainly includes the following aspects:1.Using TF-IDS analysis in the social network congestion information of key words,according to find out the key words to find published information of traffic congestion,record release traffic congestion information of user and user interaction,find out the release of the interactive user congestion information and records the interactive user,repeat it to form a larger network,the user network as the research of virtual network.2.Propagation model based on the theory of traffic information in social networks based on the actual usage scenarios and user demand for traffic congestion information and the interest it can be divided into four types: information the originator,interested in the information and travel demand,are interested in information but no travel demand of people,people are not interested in information and describe the influence model and corresponding rules of information dissemination of infectious disease model.On the basis of propagation rules,a linear influence model describing the process of information transmission and the influence of nodes and an improved SIR model based on different types of users,which mainly describes the change of user status in the propagation process,are established.3.This paper introduces three propagation evaluation indicators(propagation range and speed,density of each state node)of traffic congestion information,and analyzes the effects of three factors: initial initiator number,propagation attenuation factor and information neglect threshold in traffic congestion information dissemination.The influence propagation maximization algorithm is used to select the initial propagation point with the greatest influence of the node,and the global influence under the influence maximization is analyzed to evaluate the information dissemination effect.4.On the basis of the actual data of sina weibo,the user relationship network is established to analyze the propagation effect under different influencing factors,and the maximum propagation effect is calculated.Results show that the initial quantity pickup ponints more spread more quickly reach the balance,the number of users more quickly with the increase of the attenuation factor decreases,ignore information threshold will affect the immune state change of the number of users in the process of information communication,the transmission of traffic information compared with general information propagation speed is more slow,less transmission range.