一个社区合作的方法,以社会网络数据收集为一个大的和部分的网络

IF 1.1 3区 社会学 Q2 ANTHROPOLOGY
Max Izenberg, Ryan C. Brown, Cora Siebert, Ron Heinz, Aida Rahmattalabi, P. Vayanos
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引用次数: 3

摘要

在阿拉斯加的锡特卡小镇,经常发生灾难性的山体滑坡威胁着居民。与备灾有关的一个挑战是获得及时和可靠的风险信息。与许多小而多元的城镇一样,谁或什么是值得信赖的信息来源经常受到争议。为了帮助改善锡特卡的滑坡沟通,我们采用社区合作的方法进行社会网络分析,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。这篇短文描述了我们如何建立信任并开发自适应数据收集方法,以构建阿拉斯加锡特卡可接受且可操作的方法。这种方法可能对其他研究人员进行社会网络分析以改善风险沟通有用,特别是在农村和偏远地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Community-partnered Approach to Social Network Data Collection for a Large and Partial Network
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.
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来源期刊
Field Methods
Field Methods Multiple-
CiteScore
2.70
自引率
5.90%
发文量
41
期刊介绍: Field Methods (formerly Cultural Anthropology Methods) is devoted to articles about the methods used by field wzorkers in the social and behavioral sciences and humanities for the collection, management, and analysis data about human thought and/or human behavior in the natural world. Articles should focus on innovations and issues in the methods used, rather than on the reporting of research or theoretical/epistemological questions about research. High-quality articles using qualitative and quantitative methods-- from scientific or interpretative traditions-- dealing with data collection and analysis in applied and scholarly research from writers in the social sciences, humanities, and related professions are all welcome in the pages of the journal.
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