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Mechanisms of network evolution: a focus on socioecological factors, intermediary mechanisms, and selection pressures

机译:网络演变机制:专注于社会生态因素,中介机制和选择压力

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摘要

Since group-living animals are embedded in a network of social interactions, socioecological factors may not only affect individual behavioral strategies but also the patterning of group-level social interactions, i.e., the network structure. These co-variations between socioecological factors, individual behavior, and group-level structure are important to study since ecological factors may strongly influence animal health outcomes and reproductive success. Besides factors such as social information and/or infectious agents, with far-reaching individual fitness consequences, seem independent of individuals' own social interactions but directly affected by the topology of the social network. This paper reviews how socio-ecological pressures, i.e., causal factors (food distribution, predation, and infectious agent risk), via intermediary mechanisms (stress, information sharing, and mating system), may affect individual social behavior and consequently, social network topology. We also discuss how evolutionary driving forces, genetic (i.e., genes) and cultural (i.e., learned behavior) selection, may result in a specific composition of individuals' social strategies that produce network topologies that might be optimized to specific socio-ecological conditions. We conclude that studies focusing on whether and how well networks resist changing conditions might provide a better understanding of the rules underlying individual behavior, which in turn influences network topologya process we have called network evolution. Evolutionary processes may favor a group phenotypic composition, thus a network topology. This has been referred to as a "collective social niche construction".
机译:由于群体生活动物嵌入了社会互动网络中,因此社会生态因素不仅影响个人行为策略,而且可能对组级社交互动的图案化,即网络结构。这些社会生态因素,个人行为和组级结构之间的共同变化对于研究很重要,因为生态因素可能强烈影响动物健康成果和生殖成功。除了社会信息和/或传染性代理等因素外,具有深远的个性化性后果,似乎独立于个人自己的社交互动,但直接受社会网络拓扑的影响。本文通过中介机制(压力,信息共享和交配系统),社会生态压力,即因因素(食品分布,捕食和传染病风险),可能会影响个人社会行为,从而影响社会网络拓扑。我们还讨论了进化的驱动力,遗传(即基因)和文化(即,学习行为)选择的选择,可能导致个人社会策略的特定组成,这些策略产生可能针对特定社会生态条件优化的网络拓扑。我们得出结论,关注网络抵抗变化条件是否以及如何更好地了解各个行为的规则,这反过来影响我们称之为网络演变的网络拓扑工艺。进化过程可以赞成群体表型组合物,从而有利于网络拓扑。这被称为“集体社会利基建设”。

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