基于复杂网络的信息传播与舆论分析

Analysis of Information Dissemination and Public Opinion Based on Complex Network

摘要: 为研究社会网络中个体对舆情演变的影响，发掘信息沿网络传播的特征，运用染色模型分析了舆情的时空演变过程。基于羊群效应、权威暗示效应和观点不定等现实特征提出染色规则和“固执者”概念，描述信息传播引发的舆情演变。通过节点的中心性特征区分不同个体，对影响力节点、信息来源、初识观点影响下的舆情演变进行仿真实验，结果与现实吻合，验证了染色规则的科学性。基于此推广得到舆论管控的策略：优先管控高影响力个体；及时对热点话题做出回应；加强对自媒体群体的引导。

Abstract: Based on the theory of complex networks, this paper studies the related issues of information dissemination along with the network. Information that satisfies the characteristics of reality, novelty, and wide spread can be screened as news. For the same news, the views and positions of the public are called public opinion. This paper focuses on the use of dyeing models to analyze the temporal and spatial evolution of public opinion. The dyeing rules are based on Herd Behavior, authoritative suggestions and uncertainties, and introduce the concept of “the stubborn”. The Matlab tool is used to construct the social information network (SIN) graph of the new media period. Finally, combined with the scale-free network (BA) model of information dissemination, the influences of influence nodes, information sources and first-time opinions on the evolution of public opinion are analyzed, and the results are tested by Matlab simulation experiments.