Abstract
With the advent of altmetrics, digital traces that go beyond the scientific impact can be tracked. Twitter stands as the most appealing platform for their inspection since it gathers academic and non-academic users that discuss a wide-ranging number of topics. This research aims at developing and proposing a fine-grained classification of social media users based on mapping techniques and clustering methods and compare them with other tentative classifications proposed elsewhere. To do so, online activity of over 1.3 million Twitter users is examined, considering both their overall activity on Twitter as well as their interaction with scientific publications.
Original language | English |
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Title of host publication | 17th International Conference on Scientometrics and Informetrics, ISSI 2019 - Proceedings |
Editors | Giuseppe Catalano, Cinzia Daraio, Martina Gregori, Henk F. Moed, Giancarlo Ruocco |
Publisher | International Society for Scientometrics and Informetrics |
Pages | 2070-2075 |
Number of pages | 6 |
Volume | 2 |
ISBN (Electronic) | 9788833811185 |
Publication status | Published - 2019 |
Event | 17th International Conference on Scientometrics and Informetrics, ISSI 2019 - Rome, Italy Duration: 2 Sept 2019 → 5 Sept 2019 |
Conference
Conference | 17th International Conference on Scientometrics and Informetrics, ISSI 2019 |
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Country/Territory | Italy |
City | Rome |
Period | 2/09/19 → 5/09/19 |