2018-05-27
Using the web of data to study gender differences in online knowledge sources
Publication
Publication
This archive contains the materials to reproduce all figures, tables and other data analysis results reported in our Web Science 2018 paper: Laura Hollink, Astrid van Aggelen, and Jacco van Ossenbruggen. Using the Web of Data to Study Gender Differences in Online Knowledge Sources: the Case of the European Parliament. ACM Conference on Web Science, May 2018, Amsterdam, The Netherlands. doi:10.1145/3201064.3201108.
The public instance of the web server described here is running at https://vre4eic.project.cwi.nl/gender/
The most recent version of the source code to rebuild this server is at github vre4eic/websci2018-reproducibility-pack
This is a copy of the github release at websci2018-reproducibility-pack/releases/tag/V1.0.0, for permanent archiving under DOI 10.5281/zenodo.1232930. The DOI of the most recent permanently archived version is 10.5281/zenodo.1232929
A complete virtual machine image with this reproducibility pack fully installed has been archived as 10.5281/zenodo.1237673
| Additional Metadata | |
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| doi.org/10.5281/zenodo.1232929 | |
| A Europe-wide Interoperable Virtual Research Environment to Empower Multidisciplinary Research Communities and Accelerate Innovation and Collaboration | |
| Organisation | Human-Centered Data Analytics |
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Hollink, L, van Aggelen, A.E, & van Ossenbruggen, J.R. (2018). Using the web of data to study gender differences in online knowledge sources. doi:10.5281/zenodo.1232929
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