Author(s)

Xiaocun Mao, Tingting Dong, Meng Li, Zhenping Li

School of Information, Beijing Wuzi University, Beijing, China.

We develop a series of mathematical models to describe flow of information in different periods of time and the relationship between flow of information and inherent value. We optimize the diffusion mechanism of information based on model SEIR and improve the diffusion mechanism. In order to explore how inherent value of the information affects the flow of information, we simulate the model by using Matalab. We also use the data that the number of people is connected to Internet in Canada from the year 2009 to 2014 to analysis the model’s reliability. Then we use the model to predict the communication networks’ relationships and capacities around the year 2050. Last we do sensitivity analysis by making small changes in parameters of simulation experiment. The result of the experiment is helpful to model how public interest and opinion can be changed in complex network.

Flow of Information, SEIR Model, Dynamic Equations, Complex Network

Mao, X. , Dong, T. , Li, M. and Li, Z. (2016) Measuring the Evolution and Influence in Society’s Information Networks. Journal of Applied Mathematics and Physics, 4, 677-685. doi: 10.4236/jamp.2016.44078.