Modeling of agent-based complex network under cyber-violence

Authored by Chuanchao Huang, Bin Hu, Guoyin Jiang, Ruixian Yang

Date Published: 2016

DOI: 10.1016/j.physa.2016.03.066

Sponsors: Chinese National Natural Science Foundation

Platforms: No platforms listed

Model Documentation: Other Narrative Flow charts Mathematical description

Model Code URLs: Model code not found

Abstract

Public opinion reversal arises frequently in modern society, due to the continual interactions between individuals and their surroundings. To explore the underlying mechanism of the interesting social phenomenon, we introduce here a new model which takes the relationship between the individual cognitive bias and their corresponding choice behavior into account. Experimental results show that the proposed model can provide an accurate description of the entire process of public opinion reversal under the internet environment and the distribution of cognitive bias plays the role of a measure for the reversal probability. In particular, the application to cyber violence, a typical example of public opinion reversal, suggests that public opinion is prone to be seriously affected by the spread of misleading and harmful information. Furthermore, our model is very robust and thus can be employed to other empirical studies that concern the sudden change of public and personal opinion on internet. Crown Copyright (C) 2016 Published by Elsevier B.V. All rights reserved.

Tags

Social networks emergence Opinion dynamics Decision-Making diffusion Community bounded confidence Leaders