Study Of Information Spreading Law And Character On Complex Network

The rapid development of computer technology provides a convenient tool for information research. The research on information spreading in Complex Networks is extremely active in recent years. The network models used in research on information dissemination began at ordinary static networks, Such as Regular Networks, Random Networks, Small-world Networks, Scale-Free Networks and recently turn to the Dynamic Sequence Networks. At the same time, the spreading models are no longer limited to SIR, SIS models, and more and more models according with the actual information spreading characters are presented. In real life all kinds of information are spreading, including positive news and negative rumors. Information propagation research is still a hot issue. This paper is to explore the characteristics of information propagation in different network structure, and explore the key factors that influence the spreading of information. The specific content of our work is as follows:(1)In social network, people with similar interests, type of work constitute in one structure compact community, namely the Community Network. To explore the information propagation law in community network structure, especially in community that the source located and other communities, and to explore the choice of the source number influence on information dissemination has important practical value. It is found that there was some difference of information dissemination rule between community source located and other community:Found that when an external edge number is lesser the spread source of community spread range larger than other communities, With the increase of the number of external edge the spread source of community spread range will gradually smaller, And other community outreach will increase rapidly, When both closer with each other will decrease together, While the network transmission of whole range in the optimal value. In addition we also found that when the source number increase both the single community and the whole network transmission of whole range increased significantly, But the optimal transmission scope of the whole network the corresponding external edge number increased. In addition, we also examine the information transmission of the single situation, found that there will be three interesting phenomenon.(2)There are many ways to release information, by Word Of Mouth or by radio and television media and network media. This article explores the effects of the source concentration and dispersed option on information dissemination. Results found that under different circumstances, two transmission modes have their own advantages, the results has important guiding significance in our real work.(3)In the process of information spreading, when individual learn some information, he or she will judge the truth of the information, and the decision may be concluded by his or her own judgment or affected by his or her neighbor who passed the information. In this paper, the two factors on the transmission of information are studied. The results showed that in the same network structure the two factors have different influence, and the influence of the two factors in different network structure is also different. The influence of neighbors in Scale-Free Network will be stronger and the influences of the two factors in Small-world Networks are almost the same. Through study of the work, people will further understand that individual judgment and neighbor influence plays an important role in the information transmission, and the effect of two factors in different networks is not the same.(4)Information is easier to spread in peoples who interest it. Here we study how the distribution of people who interest the information affect the information spreading, and furthermore investigate how the information spreading will be affected if individuals only pass the information to his or her neighbors who he or she believe interest in the information. The results showed that the bigger percentage of information content match people the bigger information dissemination, the interested individuals are distributed in cluster will promote the spreading range and the more accurate the individuals judge neighbors’interest the broader the information dissemination.