基于转发效应的自媒体网络舆情扩散
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作者单位:

(1.北京交通大学经济管理学院,北京100044;2.山东科技大学经济管理学院,山东青岛266590)

作者简介:

周惠子(1989-), 女, 博士生, 从事信息融合、技术经济的研究;张杰(1975-), 男, 副教授, 博士, 从事信息融合、复杂系统决策理论与方法等研究.

通讯作者:

E-mail: zhangjie0371@163.com.

中图分类号:

TP273

基金项目:

国家自然科学基金项目(61603011);全国统计科研计划重点项目(2015LZ25, 2016LZ31).


Diffusion of self-media network public opinion based on forwarding effect
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(1.School of Economics and Management,Beijing Jiaotong University,Beijing110044,China;2. School of Economics and Management,Shandong University of Science and Technology,Qingdao266590,China)

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    摘要:

    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.

    Abstract:

    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.

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周惠子,张杰.基于转发效应的自媒体网络舆情扩散[J].控制与决策,2019,34(3):572-580

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  • 在线发布日期: 2019-03-04
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