相关实验视频
Updated: Jun 29, 2025

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The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
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基于双层网络网络的理性和非理性信息的跨平台传播研究
Qingqing Ji1, Xiaoli Wang1, Jing Zhang2
1School of Management, Shanghai University of Engineering Science, Shanghai, 201620, China.
Heliyon
|April 1, 2024
概括
不理性的信息主导着社交媒体,但增加理性的内容可以减少其传播. 来自微博的信息流显著影响了比利比利,但不是相反.
科学领域:
- 社交媒体分析 社交媒体分析
- 信息传播动力学信息传播动力学
- 网络建模 网络建模
背景情况:
- 社交媒体平台越来越容易传播不合理的信息.
- 了解跨平台信息流对于管理论至关重要.
- 经典传染病模型为研究信息传播提供了一个框架.
研究的目的:
- 开发和分析一个跨平台信息传播模型.
- 调查理性与非理性信息在微博和Bilibili上传播的动态.
- 确定管理在线信息和论的策略.
主要方法:
- 基于传染病原则,设计了一个双层网络传播模型 (SEIaIbR-FXYaYbZ).
- 动态方程被用来计算模型平衡点,基本复制数和信息.
- 模型方程与现实数据相匹配,用于参数优化和模拟分析.
主要成果:
- 信息在两个平台上都很低,这表明影响公众论的非理性信息的普遍性.
- 增加理性信息减少非理性信息,对理性信息水平的影响最小.
- 微博的理性信息流通显著影响比利比利,但比利比利对微博的影响是微不足道的.
结论:
- 理性信息可以有效地减轻社交媒体上不理性的内容的传播.
- 平台不对称存在于跨平台信息影响中,而微博对Bilibili的影响更大.
- 调查结果为指导在线信息发展和管理社交媒体上公众论提供了基础.
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