| 来源类型 | Publication |
| Using Social Network Analysis to Predict Early Collaboration Within Health Advocacy Coalitions | |
| Todd C. Honeycutt; Debra A. Strong | |
| 发表日期 | 2012-06-30 |
| 出版者 | American Journal of Evaluation, vol.33, no. 2 |
| 出版年 | 2012 |
| 语种 | 英语 |
| 概述 | In consumer advocacy coalitions formed to advance health insurance coverage expansions, engaging in united advocacy activities soon after formation might be an important first step to effectively shape policy. ", |
| 摘要 | In consumer advocacy coalitions formed to advance health insurance coverage expansions, engaging in united advocacy activities soon after formation might be an important first step to effectively shape policy. This article uses social network analysis to examine how organizational characteristics and interorganizational relationships relate to early collaboration on advocacy activities. Findings suggest that organizations that have not worked together before can become engaged in collaborative activities at a relatively early stage. Furthermore, social network analysis techniques can be applied to advocacy evaluations. |
| URL | https://www.mathematica.org/our-publications-and-findings/publications/using-social-network-analysis-to-predict-early-collaboration-within-health-advocacy-coalitions |
| 来源智库 | Mathematica Policy Research (United States) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/487150 |
| 推荐引用方式 GB/T 7714 | Todd C. Honeycutt,Debra A. Strong. Using Social Network Analysis to Predict Early Collaboration Within Health Advocacy Coalitions. 2012. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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