Research On Modeling For Internet Topology And Information Propagation In Instant Messaging System

With the development of the Internet, instant messaging (IM) system is becoming more and more popular. While people enjoy the convenient and swift service, they are always plagued by the content security problems of IM system. At present, the safety research for IM system is mainly on computer virus such as IM worm propagation research. Various informations spreading in IM system will produce influences that can not be ignored to people's daily life and work. On the one hand, the positive news with meaningful information can be quickly diffused in IM system and we should encourage and support such information; on the other hand, there are also many malicious rumors or false information that could rapidly spread in the IM system and we should take appropriate monitoring and suppression measures to control this type of information at the early stage. Comparing with the research of information security technology, the governance of information content security is increasingly aroused the attention. At present, there are no conclusions in the area of content security management for IM system, which makes this study very important. This study is conducted based on the above age and academic background.In this paper, we take the systematic idea of information security management as the basic method to launch the research. Through analysis of information propagation characteristics and laws in IM system, we put forward pertinent suggestions for IM information security governance. The research on information dissemination of IM system can be divided into two parts, which are the analyses of IM topology modeling and information dynamics modeling. The main contents are concluded as follows:Firstly, the topology modeling and characteristics analysis of the IM users' network are discussed. Based on the specific features of IM users'network from the results of survey, we improve the original scale-free network model (BA model) to match the mechanisms such as local priority connections and friend referral model. Compared with the actual network, we find that the constructed network model can reflect the actual situation of IM users'network.Through the simulation analysis, we find that the IM users'network model doesn't obey power-law distribution and it has short average path length and high clustering coefficient. Meanwhile, the community structure of the network is also obvious. In this network, there are a small proportion of nodes with little or large connections, and most of the connections are in a specific range.Secondly, the information propagation modeling of the IM system is analysed. Any information dissemination model on complex system includes two parts, which are the underlying topology network and the message transmission rules on it. The transmission rules and characteristics of IM messages are discussed at the beginning of this section based on the results of survey. With the introduction of concepts, such as fitness parameters and side power, we put forward the evolving model for information dissemination network on the IM system. Through the simulation results, we can conclude that the node degree distribution of this network is the same as that of the IM users' network. Then the dynamic model of IM messages is built on the base of the information dissemination network. With the introduction of the factors meaning tightness of IM users and type of the message, we establish the model based on the rumor propagation model in non-uniform network. Although we set the parameters of the model using a simplified process, the mechanism on the model can match with the actual situation and we can describe the complex process of information dissemination clearly. Meanwhile, through empirical study with the actual IM network in this paper, we find the model can describe the propagation trend of the IM messages probably. Thus we can make an important conclusion that this model which is constructed in this paper can be used to analyze the propagation situation of the IM messages.Thirdly, through the analysis of the IM messages dissemination trend, we propose the intervention suggestions of content security for IM system. In the past, the studies on IM system security have focused on computer viruses, and researches on information dissemination are basically qualitative discussion. Aiming at finding the factors of IM message transmission, we establish the IM message propagation model and analyze the simulation results. These factors include acceptance probability, rejection probability, the average degree and the network scale. Through different experimental parameters, we obtain the specific impact to the trend of information dissemination, which provide a basis for the study of further specific intervention recommendations. Based on the above work, this article puts forth the intervention suggestions for IM message from two aspects, which are the structure of IM network and the characteristics of message transmission. This intervention management is a continuous process, which needs to adopt a systematic approach for monitoring and management. And it also needs the joint efforts of the whole society.The achievements in the paper have significant roles to understand the network topology of IM system, the propagation characteristics of the message and the intervention mechanisms. Meanwhile, this paper obeys to the standard steps as network topology, information propagation, concrete evidence research and policy recommendations. This thinking is good to other similar research.