Attempts to better understand the social context in which conservation and environmental decisions are made has led to increased interest in human social networks. To improve use of social-network analysis in conservation, we reviewed recent studies in the literature in which such methods were applied. In our review, we looked for problems in research design and analysis that limit the utility of network analysis. Nineteen of 55 articles published from January 2016 to June 2019 exhibited at least 1 of the following problems: application of analytical methods inadequate or sensitive to incomplete network data; application of statistical approaches that ignore dependency in the network; or lack of connection between the theoretical base, research question, and choice of analytical techniques. By drawing attention to these specific areas of concern and highlighting research frontiers and challenges, including causality, network dynamics, and new approaches, we responded to calls for increasing the rigorous application of social science in conservation. Article impact statement: Rigor of social-network research requires attention to dependency assumptions, theoretical grounding, and methods that respond to data needs. This article is protected by copyright. All rights reserved.

中文翻译：

---

社会网络研究在环境决策中应用的关键考虑和挑战

试图更好地了解做出保护和环境决策的社会背景导致对人类社交网络的兴趣增加。为了改进社会网络分析在保护中的使用，我们回顾了应用这些方法的文献中最近的研究。在我们的评论中，我们寻找研究设计和分析中限制网络分析效用的问题。2016 年 1 月至 2019 年 6 月发表的 55 篇文章中有 19 篇至少存在以下问题之一： 分析方法的应用对不完整的网络数据不充分或敏感；应用忽略网络依赖性的统计方法；或缺乏理论基础、研究问题和分析技术选择之间的联系。通过关注这些特定的关注领域并突出研究前沿和挑战，包括因果关系、网络动态和新方法，我们响应了要求加强社会科学在保护中的严格应用的呼吁。文章影响声明：社交网络研究的严谨性需要关注依赖假设、理论基础和响应数据需求的方法。本文受版权保护。版权所有。和响应数据需求的方法。本文受版权保护。版权所有。和响应数据需求的方法。本文受版权保护。版权所有。