探索社区联盟网络中具有影响力的组织间关系的预测因素,使用多层次的以自我为中心的网络分析
Krista A Haapanen1, Bianca Manago2, Brian D Christens3
1Department of Psychology, University of Hawai'i at Mānoa, Honolulu, Hawai'i, USA.
Journal of prevention & intervention in the community
|October 25, 2025
概括
有效的药物滥用预防依赖于强有力的组织间协作. 这项研究发现,影响联盟成员对有影响力的关系的看法的因素是社区成功的关键.
科学领域:
- 社会科学 社会科学 社会科学
- 公共卫生 公共卫生
- 网络分析 网络分析
背景情况:
- 药物滥用是一个复杂的问题,需要持续的组织间合作.
- 了解这些合作的动态对于有效的预防策略至关重要.
研究的目的:
- 调查预测联盟成员对组织间关系的看法的因素.
- 检查这些关系对社区药物滥用预防工作的影响.
主要方法:
- 通过在线调查从田纳西州的物质滥用预防联盟收集了以自我为中心的网络数据.
- 分析了来自31个联盟的66个组织的256种独特的自我-改变关系.
- 利用双层混合效应物流回归模型来评估关系影响.
主要成果:
- 确定了影响联盟内部组织间关系感知影响的关键预测因素.
- 证明了以自我为中心的网络分析在理解协作动态方面的实用性.
- 提供了对提高药物滥用预防联盟有效性的因素的见解.
结论:
- 持续的合作和感知到的关系影响对于预防物质滥用至关重要.
- 以自我为中心的网络分析为研究组织间协作提供了一个有价值的框架.
- 这些发现对优化联盟结构和改善社区一级结果有影响.
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