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Identifying influential scholars in academic social media platforms

机译:在学术社交媒体平台中确定有影响力的学者

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The emergence of social media has created new ways to publish scientific work, foster collaboration, and build professional connections in the research community. The rich data collected in social media platforms has provided new opportunities for assessing scholars' impact other than the traditional citation-based approach. In this paper, we investigate the measures of scholars' influence in academic social media platforms, taking both academic and social impact into account. A real-life dataset collected from Mendeley is used to apply different influence metrics. We first assess the academic influence of scholars based on the scientific impact of their publications using three different measures. Then we investigate their social influence using network centrality metrics. The experiments show that top influencers with high academic impact tend to be senior scholars with many coauthors. Furthermore, academic influence and social influence measures do not strongly correlate with each other, and thus scholars with high academic impact are not necessarily influential from a social point of view. Adding the social dimension could enhance the traditional impact metrics that only take academic influence into account.
机译:社交媒体的出现为在科研界发表科学作品,促进协作和建立专业联系创造了新途径。除了传统的基于引文的方法外,在社交媒体平台上收集的丰富数据还为评估学者的影响提供了新的机会。在本文中,我们研究了学者在学术社交媒体平台中的影响力,同时考虑了学术和社会影响。从Mendeley收集的真实数据集可用于应用不同的影响力指标。我们首先使用三种不同的评估方法,根据出版物的科学影响力评估学者的学术影响力。然后,我们使用网络中心度指标调查他们的社会影响力。实验表明,具有较高学术影响力的顶尖影响者往往是许多合作者的资深学者。此外,学术影响力和社会影响力的衡量标准之间并没有很强的相关性,因此从社会的角度来看,具有较高学术影响力的学者不一定具有影响力。增加社会影响可以增强仅考虑学术影响力的传统影响力指标。

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