基于转发效应的自媒体网络舆情扩散

随着无线网络技术的发展与手机网民人数的激增,以微信、微博等新媒体为平台的自媒体网络舆情逐渐取代传统媒体舆情,成为舆论场上的主导力量,并对社会的稳定产生了重要影响.基于此,首先界定自媒体网络舆情转发网络的相关概念,论述转发网络的转发效应;然后剖析自媒体网络舆情转发效应的影响因素,构建基于转发效应的自媒体网络舆情扩散模型,并在此基础上,对舆情扩散模型进行了仿真分析.通过仿真分析发现,转发网络中的超级群组是自媒体网络舆情迅速扩散的中心和节点,使得自媒体网络舆情扩散出现了明显的动态舆情级联特征,进而使其在出现、增长与稳定等阶段具有发散性特征,并以合并、超级群组和集中式拓扑结构等效应形式进行着扩散和传播.

Diffusion of self-media network public opinion based on forwarding effect

With the development of wireless network technology and the surge of mobile internet users, the self-media internet public opinion(SMIPO) with the new media platform of WeChat, micro-blog and etc. has gradually replaced the traditional media public opinion, it has become a dominant force in the field of public opinion and has an important impact on social stability. Based on this background, this paper firstly defines the concept of SMIPO''s forwarding network, discusses the forwarding effect of forwarding network, and analyzes the main impact factors of forwarding effect in SMIPO. Then this paper constructs the SMIPO diffusion model based on the forwarding effect, and simulats the public opinion diffusion model. Simulation results show that the super group, which is the central and important node of the rapid spread of SMIPO in the forwarding network, causes the obvious dynamic cascade characteristics of public opinion in the media network. In addition, the SMIPO diffusion has the divergent characteristics in the stage of appearance, amplification and stability, and diffuses and disseminates in the form of merging effects, super groups and centralized topology.