[Social network analysis of animal behavioral ecology: a cross-discipline approach].
[Social network analysis of animal behavioral ecology: a cross-discipline approach].
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DOI：
10.11813/j.issn.0254-5853.2013.6.0651
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发表时间：
2013-12
期刊：
影响因子：
--
通讯作者：
Peng Zhang
中科院分区：
文献类型：
--
作者：
Peng Zhang
社会网络分析（Social Network Analysis，SNA）是一种用于研究社会结构的框架。作为一个涵盖了各种图论工具和数学模型来可视化网络的总括术语，SNA允许研究人员检测和量化社交网络中的模式。在国民账户体系中，个人不是独立的，而是共生的，或在一个网络中相互联系。由于其强大的分析工具，SNA能够解决一系列的动物行为，因此在行为生态学研究中越来越受欢迎，研究诸如配偶选择/性选择，合作，信息流和疾病转移，个体行为策略，社会性和网络稳定性的健身后果等概念。然而，SNA在中国的行为生态学家中相对使用不足。本研究旨在强调SNA在动物行为研究中的优势，以促进SNA在中国研究中的更大应用。本文首先介绍了社会网络理论，并论证了社交网络是如何影响个体和群体行为的，对SNA在动物行为生态学研究中的一般应用以及SNA在整体应用中的前景进行了展望。
Social network analysis (SNA) is a framework used to study the structure of societies. As an umbrella term that encompasses various tools of graph theory and mathematical models to visualize networks, SNA allows researchers to detect and quantify patterns in social networks. Within SNA, individuals are not independent, but are symbiotic or linked with one another in a network. Given its powerful analytical tools, SNA is capable of addressing a range of animal behaviors, and has accordingly become increasingly popular in behavioral ecology studies examining such notions as mate choice/sexual selection, cooperation, information flow and disease transition, behavioral strategies of individuals, fitness consequences of sociality and network stability. Nevertheless, SNA it relatively underutilized among Chinese behavioral ecologists. This study aims at highlighting the benefits of SNA in studying animal behaviors in order to promote greater utilization of SNA within Chinese studies. By first introducing social network theory and demonstrating how social networks can influence individual and collective behaviors, this paper provide a prospective overview of SNA's general utilization for the study of animal behavioral ecology as well as promising directions in the overall use of SNA.