用网络方法分析跨平台健康沟通的分析
Xinyan Fan1, Mengque Liu2, Shuangge Ma3
1Center for Applied Statistics and School of Statistics, Renmin University of China, Beijing, 100872, China.
Biometrics
|November 22, 2025
概括
推特上的乳腺癌讨论显著影响在线健康社区 (OHCs). 这项研究引入了一种分析词汇网络和频率的新模型,以了解跨平台的健康通信随时间推移的动态.
科学领域:
- 卫生沟通健康沟通
- 计算社会科学 计算社会科学
- 数字健康数字健康
背景情况:
- 在线健康社区 (OHC) 对于患者信息交换至关重要.
- 跨平台的健康沟通分析是有限的,现有的方法有缺点.
- 了解OHC和社交媒体之间的信息流动至关重要.
研究的目的:
- 开发和评估一种新的跨平台通信模型.
- 分析推特 (现在是X) 对Breastcancer.org内容和体积的影响.
- 检查在线乳腺癌传播中的时间变化.
主要方法:
- 提出了一个新的模型,将单词共发生网络和单词频率向量结合起来.
- 从2010年1月到2020年12月,分析了来自Breastcancer.org和Twitter (现为X) 的数据.
- 检查了拟议模型的理论和数值属性.
主要成果:
- 推特的乳腺癌主题显著影响OHC内容和量.
- 观察到不同的通信时间阶段,在2012-2013年和2015-2018年达到峰值.
- 拟议的模型提供了对跨平台通信的细微视角.
结论:
- 该研究提供了一种分析跨平台健康沟通的强有力的方法.
- 提供了对社交媒体和OHC之间的动态相互作用的见解.
- 实现了对在线健康信息传播的更好理解.
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