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 Field Methods Pub Date : 2022-02-15 DOI:10.1177/1525822X221074769
Max Izenberg, Ryan C. Brown, Cora Siebert, Ron Heinz, Aida Rahmattalabi, P. Vayanos
{"title":"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","authors":"Max Izenberg, Ryan C. Brown, Cora Siebert, Ron Heinz, Aida Rahmattalabi, P. Vayanos","doi":"10.1177/1525822X221074769","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":48060,"journal":{"name":"Field Methods","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2022-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Community-partnered Approach to Social Network Data Collection for a Large and Partial Network\",\"authors\":\"Max Izenberg, Ryan C. Brown, Cora Siebert, Ron Heinz, Aida Rahmattalabi, P. Vayanos\",\"doi\":\"10.1177/1525822X221074769\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":48060,\"journal\":{\"name\":\"Field Methods\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2022-02-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Field Methods\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1177/1525822X221074769\",\"RegionNum\":3,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ANTHROPOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Field Methods","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/1525822X221074769","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ANTHROPOLOGY","Score":null,"Total":0}
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。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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.
期刊最新文献
ChatGPTest: Opportunities and Cautionary Tales of Utilizing AI for Questionnaire Pretesting What predicts willingness to participate in a follow-up panel study among respondents to a national web/mail survey? Invited Review: Collecting Data through Dyadic Interviews: A Systematic Review Offering Web Response as a Refusal Conversion Technique in a Mixed-mode Survey Network of Categories: A Method to Aggregate Egocentric Network Survey Data into a Whole Network Structure
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1