Department of Life Sciences, Roehampton University, London, United Kingdom.
Am J Primatol. 2011 Aug;73(8):775-89. doi: 10.1002/ajp.20967. Epub 2011 May 11.
Although many studies have analyzed the causes and consequences of social relationships, few studies have explicitly assessed how measures of social relationships are affected by the choice of behaviors used to quantify them. The use of many behaviors to measure social relationships in primates has long been advocated, but it was analytically difficult to implement this framework into primatological work. However, recent advances in social network analysis (SNA) now allow the comparison of multiple networks created from different behaviors. Here we use our database of baboon social behavior (Papio anubis, Gashaka Gumti National Park, Nigeria) to investigate (i) to what extent social networks created from different behaviors overlap, (ii) to what extent individuals occupy similar social positions in these networks and (iii) how sex affects social network position in this population of baboons. We used data on grooming, aggression, displacement, mounting and presenting, which were collected over a 15-month period. We calculated network parameters separately for each behavior. Networks based on displacement, mounting and presenting were very similar to each other, whereas grooming and aggression networks differed both from each other and from mounting, displacement and presenting networks. Overall, individual network positions were strongly affected by sex. Individuals central in one network tended to be central in most other networks as well, whereas other measures such as clustering coefficient were found to vary depending on the behavior analyzed. Thus, our results suggest that a baboon's social environment is best described by a multiplex network based on affiliative, aggressive and sexual behavior. Modern SNA provides a number of useful tools that will help us to better understand animals' social environment. We also discuss potential caveats related to their use.
虽然许多研究已经分析了社会关系的原因和后果,但很少有研究明确评估社会关系的衡量标准如何受到用于量化它们的行为选择的影响。长期以来,人们一直提倡使用多种行为来衡量灵长类动物的社会关系,但在灵长类动物学工作中分析实施这一框架具有挑战性。然而,最近社会网络分析(SNA)的进展现在允许比较从不同行为创建的多个网络。在这里,我们使用狒狒社会行为数据库(Papio anubis,Gashaka Gumti 国家公园,尼日利亚)来研究(i)从不同行为创建的社交网络重叠的程度,(ii)个体在这些网络中占据相似的社交位置的程度,以及(iii)性别如何影响该狒狒群体的社交网络位置。我们使用了 15 个月期间收集的梳理、攻击、驱赶、交配和展示数据。我们分别为每种行为计算了网络参数。基于驱赶、交配和展示的网络彼此非常相似,而梳理和攻击网络彼此之间以及与交配、驱赶和展示网络都不同。总体而言,个体网络位置受性别强烈影响。在一个网络中处于中心位置的个体往往在大多数其他网络中也处于中心位置,而其他措施,如聚类系数,被发现取决于所分析的行为而变化。因此,我们的结果表明,狒狒的社会环境最好通过基于亲和、攻击和性行为的多重网络来描述。现代 SNA 提供了许多有用的工具,将帮助我们更好地了解动物的社会环境。我们还讨论了与它们的使用相关的潜在注意事项。