基于SHIR和SLPR传播模型的社交网络影响力
1School of Photography, Communication University of China Nanjing, Nanjing, 210000, PR China.
Heliyon
|September 23, 2024
概括
这项研究引入了新的模型来分析社交网络对情绪传播的影响. 研究结果显示,节点影响影响了情绪传播动态,较低的影响减少了峰值传播.
科学领域:
- 计算社会科学 计算社会科学
- 网络科学 网络科学
- 信息科学 信息科学 信息科学
背景情况:
- 互联网和社交媒体加速了信息和情绪的传播.
- 网上快速的情绪传播会带来意想不到的负面结果.
- 分析社交网络的影响对于理解在线行为至关重要.
研究的目的:
- 为社交网络影响分析提出新型传播模型 (易感犹感染移除和易感潜伏传播移除).
- 开发一种情感沟通模型,结合新闻和论效应.
- 调查网络结构对用户行为和情绪传播的影响.
主要方法:
- 利用了易感犹感染移除 (SHIR) 和易感潜伏传播移除 (SLPR) 的传播模型.
- 开发了一种情感沟通模型来评估新闻和论的影响.
- 进行了分析节点影响,网络结构和情绪传播动态的实验.
- 使用百度指数大数据分析验证模型.
主要成果:
- 在情绪传播者/犹者密度和跨网络配置的节点影响之间存在显著的关系.
- 节点影响的减少导致犹者和传播者的峰值较低.
- 与百度指数数据相比,该模型表现出高准确度和可靠性,误差最小 (最大为0.04).
- 节点的影响与情绪传播的速度和程度直接相关.
结论:
- 节点的影响是调节社交媒体上情感传播的关键因素.
- 提出的模型准确地预测和分析情绪传播动态.
- 研究结果为管理在线情绪环境和减轻负面结果提供了洞察力.
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