DocumentCode
1823803
Title
Identifying influential scholars in academic social media platforms
Author
Na Li ; Gillet, Denis
Author_Institution
Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
fYear
2013
fDate
25-28 Aug. 2013
Firstpage
608
Lastpage
614
Abstract
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.
Keywords
citation analysis; scientific information systems; social networking (online); Mendeley; academic impact; academic social media platforms; citation-based approach; influential scholars; network centrality metrics; professional connections; scientific work publishing; senior scholars; social impact; social influence measures; Bismuth; Communities; Conferences; Correlation; Measurement; Media; Social network services; influence; network centrality; ranking; social media;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on
Conference_Location
Niagara Falls, ON
Type
conf
Filename
6785765
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