论文标题

对科学合作的概率亲和力指数的不同变体的经验回顾

An empirical review of the different variants of the Probabilistic Affinity Index as applied to scientific collaboration

论文作者

Chinchilla-Rodríguez, Zaida, Bu, Yi, Robinson-García, Nicolás, Sugimoto, Cassidy R.

论文摘要

负责任的指标对于研究评估和监测至关重要。需要指标的透明度和准确性才能使研究评估公平并确保可重复性。但是,有时由于缺乏概念化和操作的透明度,很难根据指标进行或复制研究。在本文中,我们考虑了考虑概念和经验基础的概率亲和力指数(PAI)的不同变体。我们首先回顾了指标的历史发展以及提出的不同选择。为了证明指标的实用性,我们证明了PAI在科学合作中确定偏好的合作伙伴的应用。提供了简化的程序,以证明变化和适当的计算。然后,我们比较涉及国际科学合作的五个特定国家的实施结果。尽管对其计算提出了不同的建议,但我们并未观察到PAI变体之间的巨大差异,尤其是在国家规模方面。与任何指标一样,特定变体的选择取决于研究问题。为了促进适当的使用,我们为使用特定上下文的指标提供了建议。

Responsible indicators are crucial for research assessment and monitoring. Transparency and accuracy of indicators are required to make research assessment fair and ensure reproducibility. However, sometimes it is difficult to conduct or replicate studies based on indicators due to the lack of transparency in conceptualization and operationalization. In this paper, we review the different variants of the Probabilistic Affinity Index (PAI), considering both the conceptual and empirical underpinnings. We begin with a review of the historical development of the indicator and the different alternatives proposed. To demonstrate the utility of the indicator, we demonstrate the application of PAI to identifying preferred partners in scientific collaboration. A streamlined procedure is provided, to demonstrate the variations and appropriate calculations. We then compare the results of implementation for five specific countries involved in international scientific collaboration. Despite the different proposals on its calculation, we do not observe large differences between the PAI variants, particularly with respect to country size. As with any indicator, the selection of a particular variant is dependent on the research question. To facilitate appropriate use, we provide recommendations for the use of the indicator given specific contexts.

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