Towards a multidimensional classification of social media users around science on Twitter
| Autor: | Díaz-Faes, Adrián A., Robinson-García, Nicolás, Bowman, Timothy D., Costas Comesaña, Rodrigo |
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| Přispěvatelé: | Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), European Commission |
| Rok vydání: | 2019 |
| Zdroj: | Digital.CSIC. Repositorio Institucional del CSIC instname |
| Popis: | Trabajo presentado en la 17 International Society of Informetrics and Scientometrics Conference, celebrada en Roma (Italia) del 2 al 5 de septiembre de 2019. 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 Adrián A. Díaz-Faes is currently supported by a Juan de la Cierva postdoctoral grant (IJCI-2017-31454) from the Spanish Ministry of Economy and Competitiveness. Nicolas Robinson-Garcia is a Marie Sklodowska Curie Experienced Researcher receiving funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 707404. |
| Databáze: | OpenAIRE |
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