Department of Computer Science , Aalto University School of Science , PO Box 15400, Aalto 00076, Finland.
Department of Computer Science, Aalto University School of Science, PO Box 15400, Aalto 00076, Finland; Department of Experimental Psychology, University of Oxford, South Parks Road, Oxford OX1 3UD, UK.
R Soc Open Sci. 2016 Apr 6;3(4):160097. doi: 10.1098/rsos.160097. eCollection 2016 Apr.
Age and gender are two important factors that play crucial roles in the way organisms allocate their social effort. In this study, we analyse a large mobile phone dataset to explore the way life history influences human sociality and the way social networks are structured. Our results indicate that these aspects of human behaviour are strongly related to age and gender such that younger individuals have more contacts and, among them, males more than females. However, the rate of decrease in the number of contacts with age differs between males and females, such that there is a reversal in the number of contacts around the late 30s. We suggest that this pattern can be attributed to the difference in reproductive investments that are made by the two sexes. We analyse the inequality in social investment patterns and suggest that the age- and gender-related differences we find reflect the constraints imposed by reproduction in a context where time (a form of social capital) is limited.
年龄和性别是两个重要的因素,它们在生物分配社会努力的方式中起着至关重要的作用。在这项研究中,我们分析了一个大型的手机数据集,以探讨生活史如何影响人类的社会性以及社会网络的结构。我们的结果表明,人类行为的这些方面与年龄和性别密切相关,例如年轻个体拥有更多的联系人,而在这些联系人中,男性比女性更多。然而,男性和女性的联系人数量随年龄减少的速度不同,因此在 30 多岁后期,联系人的数量出现了逆转。我们认为,这种模式可以归因于两性在生殖投资方面的差异。我们分析了社会投资模式的不平等,并认为我们发现的年龄和性别相关差异反映了在时间(一种社会资本形式)有限的情况下,生殖所带来的限制。