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社会示威活动的热分析
1Department of Mathematics, Valencian International University (VIU), 46002 Valencia, Spain.
Entropy (Basel, Switzerland)
|May 24, 2024
概括
研究人员现在可以使用分析来识别抗议期间社交媒体讨论的关键转变. 这种方法可以检测hashtag使用中的转换,而不需要复杂的网络映射.
科学领域:
- 计算社会科学 计算社会科学
- 网络科学 网络科学
- 信息理论 信息理论
背景情况:
- 像X (以前的Twitter) 这样的社交媒体平台在社会示威活动期间对公众话语至关重要.
- 对hashtag共同出现的分析揭示了在线讨论中的时间模式和结构变化.
- 在网络连接的模块化到嵌套过渡已经观察到在峰值相关性点.
研究的目的:
- 在社交媒体标签数据中调查化测量在识别模块化到嵌套过渡的有效性.
- 为了确定分析是否可以在不依赖网络表示的情况下描述这种过渡.
主要方法:
- 利用基于的工具来分析社交示威期间使用标签的时间模式.
- 检查了度和标签共发生网络的结构性质之间的关系.
- 将热分析的结果与基于网络的模块化和嵌套性特征进行了比较.
主要成果:
- 热分析成功地确定了在标签使用中转向嵌套结构的过渡点.
- 这种过渡可以使用化工具来检测,从而避免需要明确的网络构建.
- 从模块化到嵌套的过渡是由用户之间的标签的共同多样性驱动的,而不是发布的独特标签的数量.
结论:
- 热分析提供了一种强大而有效的方法来检测社交媒体沟通中的关键结构过渡.
- 这种方法简化了在集体行动活动期间在线社会动态的研究.
- 了解这些转变的驱动因素 (共享与多样化标签使用) 提供了对在线社交行为的新见解.
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