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基于信息扩散和有界信任的多层耦合网络传播模型研究

Exploring a Multi-Layer Coupled Network Propagation Model Based on Information Diffusion and Bounded Trust.

机构信息

School of Management Engineering and E-Commerce, Zhejiang Gongshang University, Hangzhou, China.

School of Business Administration, Zhejiang Gongshang University, Hangzhou, China.

出版信息

Int J Public Health. 2022 Jul 18;67:1604887. doi: 10.3389/ijph.2022.1604887. eCollection 2022.

Abstract

To explore the law of opinion dissemination and individual opinion evolution at the micro level, this paper analyzes the influence of variation and oyster on communication from the perspective of network structure. In this paper, we introduce the concepts of "variation" and "oyster", build a multi-layer coupled network environment combined with the ISOVR model, and conduct simulation experiments of network information dissemination based on the bounded trust model. The experimental results reveal that the extent and scope of variation's spread in the network are more dependent on the trust of nodes themselves, and decreasing the trust of nodes significantly reduces the rate and peak value of variation. Changing the silence coefficient of variation does not effectively change the direction of rumor propagation, which indicates that rumor has a strong propagation ability after mutation. The insights of this paper on the dissemination of public opinions include: 1) pay attention to people with high trust levels, such as opinion leaders; 2) clarify the misinformation in time to prevent further spread of rumors.

摘要

为探索微观层面意见传播和个体意见演化规律,本文从网络结构角度分析变异性和牡蛎对传播的影响。本文引入“变异性”和“牡蛎”的概念,构建了结合 ISOVR 模型的多层耦合网络环境,并基于有界信任模型进行网络信息传播的仿真实验。实验结果表明,网络中变异性的传播程度和范围更依赖于节点自身的信任,降低节点信任度会显著降低变异性的传播速率和峰值。改变变异性的沉默系数并不能有效地改变谣言传播的方向,这表明变异后的谣言具有很强的传播能力。本文对公众意见传播的见解包括:1)关注信任水平较高的人,如意见领袖;2)及时澄清错误信息,防止谣言进一步传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d34f/9339600/4d9182891b79/ijph-67-1604887-g001.jpg

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