通过网络分析,绘制欧盟资助的研究中的领导力和社区
Fabio Morea1, Alberto Soraci1,2, Domenico De Stefano3
1Area Science Park, Trieste, Friuli-Venezia Giulia, Italy.
Open research Europe
|September 12, 2025
概括
本研究介绍了一种网络分析方法,使用CORDIS数据跟踪欧盟的研究合作和领导力. 该方法揭示了像欧洲视野这样的创新计划中不断发展的伙伴关系和有影响力的组织.
科学领域:
- 网络分析 网络分析
- 数据科学是数据科学.
- 创新研究是创新研究.
背景情况:
- "2020年视野计划"和"欧洲视野计划"是欧盟的关键研究和创新计划.
- 科尔迪斯 (社区研发信息服务) 提供了有关这些项目的开放访问数据.
- 了解这些计划中的协作动态对于创新政策至关重要.
研究的目的:
- 引入一种用于分析欧盟资助的研究项目的合作和领导演变的新方法.
- 在CORDIS数据上展示网络分析的应用.
- 提供关于研究伙伴关系和组织影响力的动态的见解.
主要方法:
- 从CORDIS门户网站提取和丰富数据.
- 构建加权协作网络,按年份划分.
- 应用网络中心性测量和社区检测算法.
- 时间分析,跟踪合作和领导角色的演变.
主要成果:
- 确定有影响力的组织和稳定的协作集群.
- 追踪这些网络和角色的时间演变.
- 案例研究应用在"地平线"计划中的"能"项目.
结论:
- 该方法有效地识别了研究网络中的关键参与者和协作稳定性.
- 对决策者和旨在通过伙伴关系促进创新的组织来说,洞察力是有价值的.
- 该框架可以扩展到分析其他研究领域的合作动态.
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