Purpose

The purpose of this paper is to achieve effective governance of online rumors through the proposed rumor propagation model and immunization strategy.

Design/methodology/approach

The paper leverages the agent-based modeling (ABM) method to model individuals from two aspects, behavior and attitude. Based on the analysis and research of online data, we propose a rumor propagation model, namely the Untouched view transmit removed-Susceptible hesitate agree disagree (Unite-Shad), and devise an immunization strategy, namely the Gravity Immunization Strategy (GIS). A graph-based framework, namely Pregel, is used to carry out the rumor propagation simulation experiments. Through the experiments, the rationality of the Unite-Shad and the effectiveness of the GIS are verified.

Findings

The study discovers that the inconsistency between human behaviors and attitudes in rumor propagation can be explained by the Unite-shad model. Besides, the GIS, which shows better performance in small-world networks than in scale-free networks, can effectively suppress rumor propagation in the early stage.

Research limitations/implications

This paper provides an effective immunization strategy for rumor governance. Specifically, the Unite-Shad model reveals the mechanism of rumor propagation, and the GIS provides an effective governance method for selecting immune nodes.

Originality/value

The inconsistency of human behaviors and attitudes in real scenes is modeled in the Unite-Shad model. Combined with the model, the definition of diffusion domain is proposed and a novel immunization strategy, namely GIS, is designed, which is significant for the social governance of rumor propagation.

中文翻译：

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基于行为态度的网络谣言传播建模与治理策略研究

目的

本文的目的是通过提出的谣言传播模型和免疫策略实现对网络谣言的有效治理。

设计/方法/方法

本文利用基于代理的建模（ABM）方法从行为和态度两个方面对个体进行建模。基于对在线数据的分析和研究，我们提出了谣言传播模型，即Untouched view transfer removed-Susceptible犹豫同意不同意（Unite-Shad），并设计了一种免疫策略，即重力免疫策略（GIS）。基于图的框架，即 Pregel，用于进行谣言传播模拟实验。通过实验验证了Unite-Shad的合理性和GIS的有效性。

发现

研究发现，人类行为和态度在谣言传播中的不一致可以用 Unite-shad 模型来解释。此外，GIS 在小世界网络中表现出比在无标度网络中更好的性能，可以在早期有效地抑制谣言传播。

研究限制/影响

本文为谣言治理提供了一种有效的免疫策略。具体而言，Unite-Shad模型揭示了谣言传播的机制，GIS为选择免疫节点提供了有效的治理方法。

原创性/价值

Unite-Shad模型对真实场景中人类行为和态度的不一致进行建模。结合该模型，提出了传播域的定义，设计了一种新型的免疫策略GIS，对谣言传播的社会治理具有重要意义。