In the small town of Sitka, Alaska, frequent and often catastrophic landslides threaten residents. One challenge associated with disaster preparedness is access to timely and reliable risk information. As with many small but diverse towns, who or what is a trustworthy source of information is often contested. To help improve landslide communication in Sitka, we used a community-partnered approach to social network analysis to identify (1) potential key actors for landslide risk communication and (2) structural holes that may inhibit efficient and equitable communication. This short take describes how we built trust and developed adaptive data collection methods to build an approach that was acceptable and actionable for Sitka, Alaska. This approach could be useful to other researchers for conducting social network analysis to improve risk communication, particularly in rural and remote contexts.

在阿拉斯加的锡特卡小镇，频繁且往往是灾难性的山体滑坡威胁着居民。与备灾相关的一项挑战是获取及时可靠的风险信息。与许多小而多样的城镇一样，谁或什么是一个值得信赖的信息来源经常是有争议的。为了帮助改善锡特卡的滑坡沟通，我们使用社区合作的方法进行社交网络分析，以确定 (1) 滑坡风险沟通的潜在关键参与者和 (2) 可能阻碍有效和公平沟通的结构漏洞。这篇简短的文章描述了我们如何建立信任并开发自适应数据收集方法，以构建一种对阿拉斯加州锡特卡来说可接受且可行的方法。这种方法可能有助于其他研究人员进行社交网络分析以改善风险沟通，特别是在农村和偏远地区。