Comparative social network analysis in a leaf-roosting bat
Comparative social network analysis in a leaf-roosting bat
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DOI：
10.1007/s00265-010-0975-3
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发表时间：
2010-10-01
影响因子：
2.3
通讯作者：
Chaverri, Gloriana
中科院分区：
文献类型：
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作者：
Chaverri, Gloriana
尽管社会网络分析提供了一个重要的工具来描述和比较社会，没有研究使用其分析应用程序来描述蝙蝠的社会性模式。在这里，我用社会网络分析的特点和比较模式的社会性之间的三个种群的栖息在叶蝙蝠Thyroptera三色。不同地点的卷叶密度不同。三色为栖息地。Finca每公顷有更多的叶子（77），其次是Urena（58）和Esquinas（7）。根据拟合模型，关联概率减半的时间段为Finca的1，086天，Urena的714天，Esquinas的303天。Finca和Urena有非常相似的网络拓扑结构，有几个小簇，高聚类系数，短路径长度，低节点介数和高网络鲁棒性。埃斯基纳斯的社交网络由一个大的集群和几个孤立的小网络组成。Esquinas也有较高的聚类系数，但路径长度和节点介数较高。与Finca和Urena相比，Esquinas的网络弹性较低。这些结果表明，与其他经常更换栖息地的森林蝙蝠不同，T。三色蝙蝠并没有表现出典型的裂变-融合社会系统，而且资源的可获得性似乎会影响这种蝙蝠的社交网络。此外，这项研究强调了移民个人在维持社会凝聚力，建立网络连通性和确定网络鲁棒性方面的重要性。
Even though social network analysis provides an important tool to characterize and compare societies, no studies have used its analytical applications to characterize patterns of sociality in bats. Here I use social network analysis to characterize and compare patterns of sociality between three populations of the leaf-roosting bat Thyroptera tricolor. Sites differed in the density of furled leaves used by T. tricolor for roosting. Finca had more leaves per hectare (77), followed by Urena (58), and Esquinas (7). The time period over which the probability of association is halved based on fitted models was 1,086 days for Finca, 714 days for Urena, and 303 days for Esquinas. Finca and Urena had very similar network topologies, with several small clusters, high-clustering coefficients, short path lengths, low node betweenness, and high network robustness. Social networks at Esquinas were composed of one large cluster and several small isolated ones. Esquinas also had high-clustering coefficients, but path length and node betweenness were high. Network resilience was lower in Esquinas compared to Finca and Urena. These results show that, unlike many other forest-dwelling bats that switch roosts regularly, T. tricolor does not exhibit a typical fission-fusion social system, and that resource availability seems to affect social networks in this bat. In addition, this study highlights the importance of emigrating individuals in maintaining social cohesion, establishing network connectedness, and determining network robustness.