Research On Message Propagation Mechanisms In Online Social Networks

In the online social network, information is transmitted from one person to another, from one area to another, through the edges in the network, resulting in a similar effect to the spread of the disease. However, due to the difference of the media and the communication entities, the information communication in the online social network is different from the spread of the disease. Among them, a basic and important question is, how theinformation sent by a person who is a node in the network to spread, what kind of path it will experience, how much influence he will have, and how deep it will be, how wide it will spread.These questions are useful for us to understand and use the dissemination of information to do something that's good for us. In this paper, we analyzed the information transmission of Weibo from the point of view above by the complex network theory. And we focus on the study of the network topological structure of Weibo information dissemination, the time distribution of the spread, how the user attributes and message properties affect the information propagation. And we studied how topredict the forwarding behavior of users on the network.In this thesis, we study the topological structure of the Weibo information dissemination, the influence of Weibo message, analysis the time distribution of the information dissemination. We found that different message types and different user nodes have significant influence on the result of message transmission. Through a large amount of data analysis, we found the messages sent by star users who have lots of fans trend to exhibit a ripple propagation model. Their Communication level is relatively shallow,Time distribution of Weibo news which has strong timeliness is usually a long tail distribution.And funny, skill type, educational model Weibo news dissemination model is diverse, random and other characteristics of the outbreak. Sampling the Weibo Message to the same user. We found a Weibo user message propagation model is roughly similar;Then we analysis the Weibo message with the same message content butsent by different person, we find that regardless of the user's attributes (the number of fans, forwarding quantity, classification, etc.) differ, mode of transmission of the same message content is always similar. These results have theoretical and practical significance for us to deeply understand the rules of online social network information dissemination.