Modeling and Statistical Properties Research on Online Real-Time Information Transmission Network

Guangming Deng, Zhen Jia

College of Science, Guilin University of Technology, Guilin, China.
Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin, China.

DOI: 10.4236/ojapps.2014.45023                

Abstract

In this paper, the model of the online real-time information transmission network, such as wechat, micro-blog, and QQ network, is proposed and built, based on the connection properties between users of the online real-time information transmission network, and combined with the local world evolving characteristics in complex network, then the statistical topological properties of the network is obtained by numerical simulation. Furthermore, we simulated the process of information transmission on the network, according to the actual characteristics of the online real-time information transmission. Statistics show that the degree distribution presents the characteristics of scale free network, presenting power law distribution, while the average path length, the average clustering coefficient and the average size of the network also has a power-law relationship, moreover, the model parameters has no effect on power-law exponent. The spread of information on the network represents obvious fluctuation scaling, reflecting the characteristics that information transmission fluctuates over time.

Keywords

Network, Information Transmission, Real-Time Information, Fluctuation Scaling

Conflicts of Interest

The authors declare no conflicts of interest.

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