社交网络如何影响人类行为:一种集成的潜空间方法,用于差异化的社会影响
Jina Park1,2, Ick Hoon Jin3,4, Minjeong Jeon5
1Department of Applied Statistics, Seoul, Republic of Korea.
Psychometrika
|September 23, 2023
概括
这项研究引入了一种使用项目级行为数据测量社会影响力的新方法,创建了一个"交互地图",以可视化社交网络如何影响个人行为. 该方法揭示了不同行为的细微影响,并提供了全面的社会影响的衡量标准.
科学领域:
- 社会心理学 社会心理学
- 网络分析 网络分析
- 行为科学 行为科学
背景情况:
- 了解社交网络对人类行为的影响在应用研究中至关重要.
- 传统方法通常依赖于聚合的,规模级的行为数据.
- 在分析细粒度,物品级别对社会影响的行为反应方面存在差距.
研究的目的:
- 提出一种新的方法来研究社会影响力,使用项目级行为测量.
- 开发一个"交互地图",整合社交网络结构和个人行为.
- 揭示特定行为的差异性社会影响效应,并衡量整体社会影响.
主要方法:
- 隐藏空间建模框架集成社交网络和项目级行为数据.
- 创建一个"交互地图",以可视化受访者同志关系和行为之间的关联.
- 模拟研究用于方法验证和现实世界的数据应用.
主要成果:
- "交互地图"有效地可视化了社交网络结构 (同志关系) 和项目级行为之间的关系.
- 在各种物品级别的行为中确定了不同的社会影响效应.
- 拟议的方法提供了一个可靠的衡量整体社会影响力的方法.
结论:
- 项目级行为分析提供了比规模级数据更细致的社会影响的理解.
- "互动地图"是探索复杂的社会动态和影响力的宝贵工具.
- 这种新的方法在理解社交网络如何影响参与活动时,证明了其实际应用.
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