Global network structure of dominance hierarchy of ant workers.
Global network structure of dominance hierarchy of ant workers.
复制标题
蚂蚁工人的统治等级的全球网络结构。
DOI：
10.1098/rsif.2014.0599
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发表时间：
2014
影响因子：
3.9
通讯作者：
Kazuki Tsuji & Naoki Masuda
中科院分区：
文献类型：
--
作者：
Hiroyuki Shimoji;Masato S Abe;Kazuki Tsuji & Naoki Masuda
动物之间的优势等级在不同物种中普遍存在，并被认为有助于调节动物群体内的资源分配。然而，与小群体不同，大群体动物的线性层次结构的检测和量化是一项艰巨的任务。在这里，我们分析了 Diacamsp 中工蚁形成的基于攻击的优势层次结构。作为大型定向网络。我们表明，观察到的优势网络是完美的或近似的有向无环图，这与完美的线性层次结构一致。观察到的网络也是稀疏和随机的，但与通过细化完美线性锦标赛生成的网络显着不同（即所有个体都是线性排名的，并且每对个体之间都存在优势关系）。这些结果与网络的全局结构有关，这与之前检查不同类型三元组频率的研究形成鲜明对比。此外，每个观察到的网络的出度（即，焦点工作人员攻击的工作人员数量）而不是入度（即，攻击焦点工作人员的工作人员数量）的分布是右偏的。出度过大的那些位于层次结构的顶部附近，但不是顶部。我们还讨论了已发现的优势网络特性的进化意义。
Dominance hierarchy among animals is widespread in various species and believed to serve to regulate resource allocation within an animal group. Unlike small groups, however, detection and quantification of linear hierarchy in large groups of animals are a difficult task. Here, we analyse aggression-based dominance hierarchies formed by worker ants inDiacammasp. as large directed networks. We show that the observed dominance networks are perfect or approximate directed acyclic graphs, which are consistent with perfect linear hierarchy. The observed networks are also sparse and random but significantly different from networks generated through thinning of the perfect linear tournament (i.e. all individuals are linearly ranked and dominance relationship exists between every pair of individuals). These results pertain to global structure of the networks, which contrasts with the previous studies inspecting frequencies of different types of triads. In addition, the distribution of the out-degree (i.e. number of workers that the focal worker attacks), not in-degree (i.e. number of workers that attack the focal worker), of each observed network is right-skewed. Those having excessively large out-degrees are located near the top, but not the top, of the hierarchy. We also discuss evolutionary implications of the discovered properties of dominance networks.