Human and Life Sciences, Whitelands College, Roehampton University, London SW154JD, UK.
Proc Biol Sci. 2009 Dec 22;276(1677):4417-22. doi: 10.1098/rspb.2009.1409. Epub 2009 Sep 30.
Most primates are intensely social and spend a large amount of time servicing social relationships. In this study, we use social network analysis to examine the relationship between primate group size, total brain size, neocortex ratio and several social network metrics concerned with network cohesion. Using female grooming networks from a number of Old World monkey species, we found that neocortex size was a better predictor of network characteristics than endocranial volumes. We further found that when we controlled for group size, neocortex ratio was negatively correlated with network density, connectivity, relative clan size and proportional clan membership, while there was no effect of neocortex ratio on change in connectivity following the removal of the most central female in the network. Thus, in species with larger neocortex ratios, females generally live in more fragmented networks, belong to smaller grooming clans and are members of relatively fewer clans despite living in a closely bonded group. However, even though groups are more fragmented to begin with among species with larger neocortices, the removal of the most central individual does cause groups to fall apart, suggesting that social complexity may ultimately involve the management of highly fragmented social groups while at the same time maintaining overall social cohesion. These results emphasize a need for more detailed brain data on a wider sample of primate species.
大多数灵长类动物具有强烈的社交性,并花费大量时间来维护社交关系。在这项研究中,我们使用社交网络分析来研究灵长类动物群体大小、总脑容量、大脑新皮层比例与几个与网络内聚性有关的社交网络指标之间的关系。通过对一些旧大陆猴物种的雌性梳理网络进行研究,我们发现大脑新皮层大小比脑容量更能预测网络特征。我们进一步发现,当我们控制群体大小后,大脑新皮层比例与网络密度、连接性、相对氏族大小和比例氏族成员呈负相关,而大脑新皮层比例对网络中最中心雌性个体移除后连接性的变化没有影响。因此,在大脑新皮层比例较大的物种中,雌性通常生活在更分散的网络中,属于较小的梳理氏族,并且相对较少的氏族成员,尽管它们生活在一个紧密结合的群体中。然而,尽管大脑新皮层较大的物种的群体一开始就更加分散,但最中心个体的移除并不会导致群体解体,这表明社会复杂性可能最终涉及到高度分散的社会群体的管理,同时保持整体社会凝聚力。这些结果强调了需要对更广泛的灵长类物种样本进行更详细的大脑数据研究。