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Dataset . 2014

License: http://creativecommons.org/licenses/by/4.0/legalcode

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Computer Scientists on Twitter

Research datakeyboard_double_arrow_right Dataset 29 Apr 2014Zenodo

Hadgu, Asmelash Teka; Jäschke, Robert;

doi: 10.5281/zenodo.12942

Computer Scientists on Twitter

- Summary
- Subjects
- Related research
  (2)
- Metrics

Abstract

This dataset contains the data used in the paper Identifying and Analyzing Researchers on Twitter (http://dx.doi.org/10.1145/2615569.2615676). At the moment, this includes computer scientists, though an extension to other disciplines is planned. The data can be cited as follows: Asmelash Teka Hadgu and Robert Jäschke. 2014. Identifying and Analyzing Researchers on Twitter. In Proceedings of the 6th Annual ACM Web Science Conference (WebSci '14). 23-30. ACM, New York, NY, USA. DOI: 10.1145/2615569.2615676

Subjects by Vocabulary

EOSC: Twitter Data

Keywords

twitter

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2 Research products, page 1 of 1

Identifying and analyzing researchers on twitter
2014IsSupplementTo
URLs from tweets for a 2014 sample of Twitter users and for a set of computer scientists
2017IsSupplementedBy

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average

Usage byUsageCounts

visibility	views	1K
download	downloads	219

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average