The Algorithm Study about the Information Dissemination Probability in Micro-blog Community

Abstract

According to the reality of information dissemination in micro-blog community, the information dissemination probability is divided into two part: initial information dissemination probability and specific time information dissemination probability, As consideration of their impacts, algorithm of information dissemination probability is built by algorithm of initial information dissemination probability and algorithm of information dissemination probability in specific time. With the algorithm of information dissemination probability, we can provide a set of theoretical foundation and practical instruments to further study the process of information dissemination in micro-blog community. Introduction In recent years, the micro-blog community grew rapidly as a convenient network of social media and gets the social acceptance and recognition gradually. The research of information dissemination probability in micro-blog community has great significance to depict information dissemination process and information transmission mechanism. Many scholars introduce the epidemic model on the study of information dissemination process in micro-blog community, because there are many similarities between the dissemination and spread of infection. Users are abstracted as network node by and the most in-depth one is SIR model [1]. Xu Xiaodong etc. [2] establish a SIR model of micro-blog community by abstracting users as network nodes and study the dissemination mechanism of rumor. Yang Gang etc. [3] based on an infectious disease model; information transmission probability is redefined by taking into consideration of the networks weights. Zhang Yanchao etc. [4] discover that the greater degree the initial node of information transmission presents, the easier information spreads in network by means of simulating the process of information transmission in online social network. On the basis of elements called infection delay and non-uniform transmission, Zhao Jing etc. [5] bring forward a novel SIR model, by means of which the fact that the threshold value of propagation can be greatly lowered by infection delay and that critical value of propagation can be increased by transmission in the heterogeneous networks is found. Wang Hongliang etc. [6] built a SIR model about the dissemination of micro-blog information and analysis it with pathogen, infectivity, and immunity features that comes from epidemiology. YANG Zilong etc. [7] made some improvements on SIR model based on the law of diminishing reposting probability and proved the validity of the model, fount that this model can better fit the process of information propagation when considering the time-effectiveness and information obsolescence of the message. From the current research achievement, many documents involved the study of the information dissemination process of the infectious disease model, but the research about structure of the specific algorithm for the micro-blog community information dissemination probability in is still lack. To study the process of information dissemination probability in micro-blog community in-depth, we have to clear obstacles above. Therefore, this article will based on the SIR model and combine the actual situation of micro-blog community constructs the algorithm of micro-blog community information dissemination probability and provides the theory basis and calculation tools for more in-depth research of tweet dissemination International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2015) © 2015. The authors Published by Atlantis Press 606