行为抽样方法对当地和全球社交网络指标的影响:对三种子物种的案例研究
Stefano S K Kaburu1, Krishna N Balasubramaniam2, Pascal R Marty3
1School of Animal Rural & Environmental Sciences, Nottingham Trent University, Southwell NG25 0QF, UK.
Royal Society open science
|December 11, 2023
概括
行为抽样方法显著影响的社交网络分析 (SNA) 度量. 直接的社会联系通常是可比的,但间接的措施有所不同,引导研究人员选择适当的方法来准确分析社交网络.
科学领域:
- 灵长类动物学 灵长类动物学
- 行为生态学 行为生态学
- 定量生物学 定量生物学
背景情况:
- 社会网络分析 (SNA) 量化了动物群体中的社会结构.
- 不同行为抽样方法对SNA指标的影响还不太清楚.
研究的目的:
- 为了比较来自焦点动物采样 (FAS) 和全场行为采样 (ABS) 的社交网络指数.
- 评估抽样方法如何影响三种的直接和间接社会联系指标.
主要方法:
- 采集了使用FAS和ABS的三种物种的行为数据 (修饰,拥挤,侵略).
- 计算了各种SNA指标,包括度中心性,自向量中心性,中间中心性,模块化和集中性.
- 从两个采样方法获得的相关SNA指标.
主要成果:
- 直接连接指标 (集中度,网络密度) 在所有行为中都与FAS和ABS相关.
- 自身载体和中间的中心性与养和攻击性相关,但并不总是与跨物种的拥挤有关.
- 网络模块化和集中显示了取样方法之间的可变相关性,取决于行为和群体.
结论:
- 采样方法对间接的社交网络指标有显著的影响,特别是在聚集等行为方面.
- 这些发现为研究人员选择采样策略以准确估计灵长类动物的社交网络属性提供了指导.
- 在行为数据收集中的方法选择对于可靠的社交网络分析至关重要.
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