动态影响力下网络舆论传播的计算实验研究

发布时间：2018-01-31 00:16

本文关键词： 舆论传播有界信任模型认知不一致理论动态影响力　出处：《系统工程理论与实践》2016年12期 　论文类型：期刊论文

【摘要】：基于以往研究较少考虑影响力的即时动态更新,对于网络舆论传播的某些现象,可以融入这一因素进行分析.借鉴Krause有界信任的思想,引入Festinger的认知不一致理论对观点交互条件进行改进,并对信任阈值的作用进行了重新认识.本文认为,信任阈值并非判定个体是否交互的分界线,而是决定影响力增大或减小的分割线.进一步,对影响力的动态性进行了深入研究,引入短记忆过程和惩罚机制,从而构建动态影响力下的网络舆论传播模型,进行了计算实验分析.结果表明:随着群体信任闽值的提高,观点分化程度降低.群体观点演化也受初始影响力分布影响,初始影响力较高,网络群体更容易形成稳定的观点,且收敛速度更快.而投入干预个体的影响作用与群体信任阈值负相关,与干预个体所占的比例正相关.
[Abstract]:Based on the fact that previous researches seldom consider the immediate dynamic update of influence, we can analyze some phenomena of network public opinion dissemination and use the idea of bounded trust of Krause for reference. Festinger's theory of cognitive inconsistency is introduced to improve the interaction conditions of ideas, and the role of trust threshold is re-recognized. Trust threshold is not the dividing line to judge whether the individual is interacting or not, but the dividing line that determines whether the influence is increasing or decreasing. Furthermore, the dynamic of influence is deeply studied, and the short memory process and punishment mechanism are introduced. Thus the network public opinion dissemination model under the dynamic influence is constructed, and the calculation experiment analysis is carried out. The result shows that: with the increase of the group trust threshold. The evolution of group views is also affected by the distribution of initial influence, and the initial influence is higher, so it is easier for network groups to form stable views. The effect of input intervention is negatively correlated with the threshold of group trust and is positively related to the proportion of intervention individuals.
【作者单位】：厦门大学管理学院;
【基金】：国家自然科学基金(71171171,71671153)~~
【分类号】：TP393.09;G206
【正文快照】： 1引言互联网的迅猛发展带动了各类社交网络的迅速普及,当突发性社会事件发生时,各种观点沸沸扬扬,莫衷一是.而社交网络最能直观地呈现出各种观点的激烈交互,分歧和融合.如何利用社交网络强大的朋友关系网让舆论具有正确的导向,避免被有心人恶意利用,是值得探讨的.如2014年发

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