基于混沌情景预测方法的微博信息扩散建模与仿真研究

本文用混沌理论方法针对微博信息扩散的必要性与可行性进行研究,基于混沌情景预测方法构建了微博信息扩散的仿真模型,并对微博信息扩散进行仿真。仿真结果表明,看似随机的微博信息扩散方式,实际具有内在规律。用户接收并转发的概率具,增加用户转发概率更有助于微博信息的扩散与传播。本文的研究对了解网络信息的扩散机制和影响因素有一定的现实意义。

Micro-blog Information Diffusion Modeling and Simulation Research Based on Chaotic Scene Prediction Method

This paper studied the necessity and feasibility of micro-blog information diffusion by chaotic theory, constructs a simulation model of micro-blog information diffusion based on chaotic scene prediction method and simulates the micro-blog information diffusion. The simulation results show that the seemingly random micro-blog information diffusion has the inherent law. The probability of receiving and forwarding of users has a layer of diminishing; increasing users＇ forwarding probability can help the diffusion and dissemination of microblog information. There is a certain practical significance for understanding the diffusion mechanism and influence factor of network information.