https://github.com/gesiscss/scientists-analysis-wikipedia
Analysis of articles about scientists on Wikipedia
https://github.com/gesiscss/scientists-analysis-wikipedia
Last synced: 11 months ago
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Analysis of articles about scientists on Wikipedia
- Host: GitHub
- URL: https://github.com/gesiscss/scientists-analysis-wikipedia
- Owner: gesiscss
- License: mit
- Created: 2018-01-23T15:58:25.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2018-04-16T10:10:56.000Z (over 8 years ago)
- Last Synced: 2025-07-28T14:50:44.792Z (12 months ago)
- Language: Jupyter Notebook
- Size: 54.4 MB
- Stars: 0
- Watchers: 12
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Collective Attention towards Scientists and Research Topics
[](https://opensource.org/licenses/MIT)
## Description
Data and code to recearch paper **"Collective Attention towards Scientists and Research Topics"**. This is a follow up research based on thesis by Tatiana Sennikova [GitHub]( https://github.com/tsennikova/scientists-analysis )
### Abstract:
Emergent patterns of collective attention towards scientists and their research may function as a proxy for scientific impact which traditionally is assessed via committees that award prizes to scientists. Therefore it is crucial to understand the relationships between scientific impact and online demand and supply for information about scientists and their work. In this paper, we compare the temporal pattern of information supply (article creations) and information demand (article views) on Wikipedia for two groups of scientists: scientists who received one of the most prestigious awards in their field and influential scientists from the same field who did not receive an award.
Our research highlights that awards function as external shocks which increase supply and demand for information about scientists, but hardly affect information supply and demand for their research topics. Further, we find interesting differences in the temporal ordering of information supply between the two groups: (i) award-winners have a higher probability that interest in them precedes interest in their work; (ii) for award winners interest in articles about them and their work is temporally more clustered than for non-awarded scientists.
Supervised by: [Claudia Wagner]( http://www.claudiawagner.info ), [Fariba Karimi]( https://frbkrm.com/ )
## Further Reading
[Paper]( https://doi.org/10.1145/3201064.3201097 )
[arXiv]( )
[Thesis of Tatiana Sennikova]( https://kola.opus.hbz-nrw.de/frontdoor/index/index/docId/1388n )
### How to cite
Claudia Wagner, **Olga Zagovora**, Tatiana Sennikova, and Fariba Karimi. 2018. Collective Attention towards Scientists and Research Topics. In Proceedings of the 2018 ACM on Web Science Conference (WebSci '18). ACM, Amsterdam, Netherlands, pp-pp. DOI: https://doi.org/10.1145/3201064.3201097
[Download preprint]()
## Contact
[Olga Zagovora](http://olgazagovora.ucoz.net/) olga.zagovora (at) gesis (dot) org
## Acknowledgments
This work is part of the DFG-funded research project ** *metrics** (project number: 314727790). Further information on the project can be found at https://metrics-project.net
## License
This work is licensed under the MIT license. See ``LICENSE`` file in this repository.
Developed at ***[Computational Social Science]( https://www.gesis.org/en/institute/departments/computational-social-science/ )*** department of ***GESIS - Leibniz Institute for the Social Sciences, Cologne (Germany)*** and WeST Institute for Web Science and Technologies of the University of Koblenz-Landau, Koblenz (Germany).