ABSTRACT Research on diffusion and transfer increasingly relies on the concept of policy networks, but often in inductive, descriptive, and anecdotal ways. This article proposes a more robust method for the comparative analysis of policy networks, a method we term ‘event-focused network analysis’ (EFNA). The method assumes that networks are most clearly revealed in ‘events’ – conferences, meetings, workshops, etc. Databases of participants at these events provide the foundation for social network analysis of the networks of which they are part. The Organisation for Economic Co-operation and Development (OECD) has hundreds of such events annually that are connected to a myriad of policy issues, thus allowing cross-sectoral network comparisons. The article begins with a review and critique of current approaches to network analysis, explains the EFNA approach, and then applies it to anti-corruption networks centred in the OECD. The case study shows the promise of the method, particularly in being able to trace a wider range of actors than is typical, taking us beyond the ‘usual suspects’ in conventional transfer studies.

中文翻译：

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以事件为中心的网络分析：反腐败网络案例研究

摘要关于扩散和转移的研究越来越依赖于政策网络的概念，但通常采用归纳，描述和轶事的方式。本文提出了一种用于策略网络比较分析的更健壮的方法，我们称之为“针对事件的网络分析”（EFNA）。该方法假定网络在“事件”（会议，会议，讲习班等）中显示得最为清楚。这些事件的参与者数据库为对其所参与的网络进行社交网络分析提供了基础。经济合作与发展组织（OECD）每年都有数百个此类事件，这些事件与无数的政策问题相关，因此可以进行跨部门网络比较。本文首先回顾和批评当前的网络分析方法，解释了EFNA方法，然后将其应用于以OECD为中心的反腐败网络。案例研究表明了该方法的前景，特别是在能够追踪比常规方法更广泛的参与者方面，这使我们超越了传统转移研究中的“通常嫌疑犯”。