The Public Opinion Control Model Based on the Connecting Multi-Small-World-Network

The network of public opinion in self-media has played a significant role in social security and stability and has become the dominant force in the current public opinion field. The traditional media sensations are being gradually replaced by the self-media consensus as represented by new media platforms such as We-chart and Weibo, and this is due to the development of wireless network technology and the proliferation of smartphone users. Therefore, this paper discusses the small-world network attributes of public communications in self-media by addressing the criteria of small-world network communications. It constructs the energy model of public communications in a self-media network, introduces the thermal energy calculation equation, takes the “Liu Guo Liang’s resignation event” as an example and simulates the evolutionary process of public communications in a self-media network. The experimental results show that the key users in self-media play critical roles in the evolution of hot topics and promote the evolution of public communications in self-media. Furthermore, the peak of the self-media consensus dissemination is affected by the initial heats and transmission probabilities of hot topics. All these factors promote the polarization of public opinion transmissions in a self-media network.

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PUBLIC OPINION FORMATION MODEL BASED ON OPINION ENTROPY

International Journal of Modern Physics C ◽

10.1142/s0129183113500800 ◽

2013 ◽

Vol 24 (11) ◽

pp. 1350080 ◽

Cited By ~ 5

Author(s):

YUE WU ◽

YONG HU ◽

XIAO-HAI HE

Keyword(s):

Public Opinion ◽

Shannon Entropy ◽

Quantitative Measurement ◽

Formation Model ◽

Opinion Formation ◽

The Public ◽

Model Based ◽

Simulation Results ◽

High Control ◽

Short Time

In this paper, we introduce the concept of opinion entropy based on Shannon entropy, which is used to describe the uncertainty of opinions. With opinion entropy, we further present a public opinion formation model, and simulate the process of public opinion formation under various controlled conditions. Simulation results on the Holme–Kim network show that the opinion entropy will reduce to zero, and all individuals will hold the opinion of agreeing with the topic, only by adjusting the cons' opinions with a high control intensity. Controlling the individuals with big degree can bring down the opinion entropy in a short time. Besides, extremists do not easily change their opinion entropy. Compared with previous opinion clusters, opinion entropy provides a quantitative measurement for the uncertainty of opinions. Moreover, the model can be helpful for understanding the dynamics of opinion entropy, and controlling the public opinion.

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A Novel Emergence Model of Public Opinion Based on Small-World Network

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.474-476.2263 ◽

2011 ◽

Vol 474-476 ◽

pp. 2263-2268 ◽

Cited By ~ 2

Author(s):

Yu Wu ◽

Yuan Yao ◽

Li Wang

Keyword(s):

Complex System ◽

Public Opinion ◽

Small World ◽

Model Parameters ◽

Small World Network ◽

World Model ◽

System Parameters ◽

Emergent Computation ◽

Internet Users ◽

Simulation Results

From the view of complex networks and emergent computation, a new emergence model of public opinion is built. It is based on small-world model, and takes Internet users as agents. Then the system parameters and realistic interactions in this model are set. Simulation results show that our model can demonstrate the whole evolution process of formed or unformed public opinion. The formation evolution of public opinion is in accordance with the real network of public opinion. We can get all kinds of public opinion forms via setting different model parameters. By comparing with the existing network model, there is an obvious advantage for the interaction rules and forms in our model, and it is realistic and reasonable. As a new model for the complex system, it can be used as one of the objects for studying the network behaviors and emergent computation.

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Nonlinear Dynamical Behavior in BS Evolution Model Based on Small-World Network Added with Nonlinear Preference

Communications in Theoretical Physics ◽

10.1088/0253-6102/48/1/028 ◽

2007 ◽

Vol 48 (1) ◽

pp. 137-142

Author(s):

Zhang Ying-Yue ◽

Yang Qiu-Ying ◽

Chen Tian-Lun

Keyword(s):

Dynamical Behavior ◽

Small World ◽

Evolution Model ◽

Small World Network ◽

Nonlinear Dynamical ◽

Model Based

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Public Opinion Evolution Based on Complex Networks

Cybernetics and Information Technologies ◽

10.1515/cait-2015-0006 ◽

2015 ◽

Vol 15 (1) ◽

pp. 55-68 ◽

Cited By ~ 3

Author(s):

Yeqing Zhao

Keyword(s):

Public Opinion ◽

Complex Networks ◽

Complex Adaptive Systems ◽

Adaptive Systems ◽

Dynamic Networks ◽

Evolutionary Process ◽

Small World ◽

The Public ◽

Complex Agent ◽

Complex Adaptive

Abstract The Sznajd model of sociophysics can describe the mechanism of making a decision in a closed community. The Complex Agent Networks (CAN) model is studied, based on the adaptability, autonomy and activity of the individuals, as well as the complex interactions of individuals in an open community for probing into evolution of the public opinion. With the help of the theory of complex adaptive systems and the methods of complex networks, the structure of agents, the dynamic networks scenarios and the evolutionary process of the agents are described. The simulation results of CAN model show that all individuals cannot reach a final consensus through mutual consultations when the small world networks rewiring probability p is less than a specified threshold. But when the rewiring probability p is larger than the given threshold, all individuals will eventually come to a finial consensus, and that the rewiring probability p increases, whereas the time of emergence of the public opinion will be significantly reduced. It is quite obvious that in real community the mass media and many other mechanisms have an effect on the evolutionary process of the public opinion.

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