建模和分析一个意见网络的动态,考虑到环境因素.
Fulian Yin1,2, Jinxia Wang2, Xinyi Jiang2
1State Key Laboratory of Media Convergence and Communication, Communication University of China, Beijing 100024, China.
Mathematical biosciences and engineering : MBE
|November 3, 2023
概括
本研究引入了一种新的模型 (NET-OE-SFI),以了解公众论如何在社交媒体上演变,并纳入环境因素以有效指导论管理策略.
科学领域:
- 社交网络分析 社交网络分析
- 信息传播的动态信息传播的动态
- 计算社会科学 计算社会科学
背景情况:
- 社交媒体是公众对时事论表达的关键平台.
- 了解意见演变对于指导公共话语和达成共识至关重要.
- 现有的模型往往忽略了环境因素对信息传播的影响.
研究的目的:
- 提出一个新的动态意见网络模型 (NET-OE-SFI),将环境因素纳入其中.
- 分析受环境动态影响的论演变.
- 为有效的论管理策略提供见解.
主要方法:
- 发展动态意见网络易感转发免疫 (NET-OE-SFI) 模型.
- 根据用户数据,将转发节点分为"支持"和"反对"的分类.
- 将受传染病模型启发的环境因素纳入网络传输.
主要成果:
- NET-OE-SFI模型通过数据与真实信息传输相匹配来证明其有效性.
- 敏感性分析揭示了各种模型参数对意见演变的影响.
- 该模型有效地捕捉了环境因素和论动态之间的相互作用.
结论:
- 拟议的NET-OE-SFI模型为研究社交网络中的论演变提供了一个强大的框架.
- 环境因素对在线意见的传播和转变产生重大影响.
- 这些发现有助于设计更有效的论指导和管理策略.
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