谁在影响欧盟的政策实验室?社交网络方法

IF 4.1 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Quantitative Science Studies Pub Date : 2023-02-10 DOI:10.1162/qss_a_00247
E. Romero-Frías, D. Torres-Salinas, Wenceslao Arroyo-Machado
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引用次数: 0

摘要

公共创新日益增长的重要性通过政策实验室的创建得到了体现:政策实验室是为政府实体工作或在政府实体内部工作的政策实验和创新空间。2016年,欧盟委员会(EC)成立了一个政策实验室,并发布了一份报告,确定了欧洲的政策实验室及其影响者,这证明了这一现象在欧洲的兴起。公共创新日益以国家和国际网络为基础,产生了复杂的生态系统,涉及来自不同行政方式的国家的多个行动者的参与。我们的研究使用社交网络分析这些实验室的Twitter个人资料数据来绘制欧盟(EU)公共创新生态系统,并确定主要影响因素。通过使用大型地理数据库,对政策实验室及其影响者进行管理风格分析。研究结果揭示了一个复杂的全球影响网络,以及盎格鲁-撒克逊管理风格的强大优势。从欧盟的角度来看,我们对影响的系统分析在英国脱欧后的背景下尤为重要,有助于建立一个真正的公共创新生态系统,既自主又相互关联,以应对可持续发展议程和COVID-19危机复苏等挑战。
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Who influences policy labs in the European Union? A social network approach
Abstract The growing importance of public innovation has been manifested through the creation of policy labs: spaces for policy experimentation and innovation that work for or within a government entity. The rise of this phenomenon in Europe was evidenced by the creation of a policy lab by the European Commission (EC) in 2016 and the publication by the EC of a report identifying policy labs and their influencers in Europe. Public innovation is increasingly based on national and international networks, giving rise to complex ecosystems involving participation by multiple actors from countries with different administrative approaches. Our study uses social network analysis of these labs’ Twitter profile data to map the European Union’s (EU) public innovation ecosystem and identify the major influencers. Policy labs and their influencers are analyzed by administration style by using a large geographical database. The results reveal a complex global network of influencers and a strong predominance of the Anglo-Saxon administration style. From an EU perspective, our systematic analysis of influence is particularly important in the post-Brexit context, helping to foster a genuine public innovation ecosystem that is both autonomous and interconnected with the aim of facing challenges such as the Sustainable Development Agenda and COVID-19 crisis recovery.
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来源期刊
Quantitative Science Studies
Quantitative Science Studies INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
12.10
自引率
12.50%
发文量
46
审稿时长
22 weeks
期刊介绍:
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