在R中使用STRAND建模动物网络数据
Cody T Ross1, Richard McElreath1, Daniel Redhead1
1Department of Human Behavior, Ecology, and Culture, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
The Journal of animal ecology
|November 8, 2023
概括
本研究介绍了STRAND,这是一个简化动物社会网络分析生成网络模型的R包. 它使研究人员能够轻松地将先进的贝叶斯模型应用于各种社会数据.
科学领域:
- 生态生态学 生态生态学
- 网络科学 网络科学
- 计算生物学 计算生物学
背景情况:
- 在社交网络分析中,日益需要生成模型.
- 由于软件有限,对实地研究人员等最终用户来说,实施这些模型是具有挑战性的.
- 现有的方法往往比基于 permutation 的方法更难获得.
研究的目的:
- 引入STRAND R包,用于可访问的生成网络建模.
- 为动物社交网络数据的贝叶斯分析提供一个用户友好的工具.
- 展示生成模型对各种网络数据类型的应用.
主要方法:
- 开发了STRAND R套件的开发工作.
- 实现生成模型,包括随机区块模型和社会关系模型.
- 使用简单的基础R语法,以方便应用.
- 提供一个模拟比例,数量或二进制网络数据的教程.
主要成果:
- 斯特兰提供了一套用于贝叶斯分析动物社交网络数据的生成模型.
- 该软件包支持各种数据类型 (比例,计数,二进制) 和建模框架.
- 对于典型的最终用户来说,STRAND简化了复杂网络模型的应用.
结论:
- STRAND显著降低了在动物行为研究中应用生成网络模型的进入壁垒.
- 该套件有助于在社交网络分析中更广泛地使用先进的分析技术.
- STRAND提高了现场研究人员和生态学家对复杂建模的可访问性.
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