在R中使用STRAND的贝叶斯多重网络模型:生物学家和社会科学家的方法.
Cody T Ross1, Kotrina Kajokaite1, Sean Pinkney2
1Department of Human Behavior, Ecology and Culture, Max-Planck-Institut fur Evolutionare Anthropologie, Leipzig, Sachsen, Germany.
Royal Society open science
|October 23, 2025
概括
本研究介绍了STRAND R包中的多重社会关系模型 (SRM). 它可以分析各种科学学科的复杂,多层次的社交网络.
科学领域:
- 社交网络分析分析
- 生态生态学 生态生态学
- 行为生物学 行为生物学
- 经济学 经济学 经济学
背景情况:
- 现实世界的社会互动往往是多层次的,形成复杂的多重网络.
- 了解这些网络中的跨层关系对于许多研究问题至关重要.
- 现有的生成模型往往缺乏有效分析多重网络结构的能力.
研究的目的:
- 展示社会关系模型 (SRM) 的多重实现.
- 提供可访问的工具和教程,用于将多重SRM应用于各种数据集.
- 促进在科学研究中更广泛地采用生成网络建模.
主要方法:
- 在STRAND R包中开发一个多重集 SRM.
- 创建用于最终用户数据分析,参数可视化和结果解释的教程.
- 该模型应用于实验经济学和动物行为的数据集.
主要成果:
- 该STRAND R包成功实现了多重 SRM.
- 经过工作的例子展示了实际的数据分析和解释能力.
- 该软件包简化了复杂的多重网络模型的部署.
结论:
- 在STRAND R中的多重 SRM 增强了多层次社交网络的分析.
- 该工具使跨学科的先进网络建模技术的使用实现了民主化.
- 它支持研究研究不同类型的社会联系和行为的相互作用.
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