IntroductionWith Georgeta Bordea and Paul Buitelaar from DERI, National University of Ireland Galway, I submitted a WebSci'13 paper that analyses the WebSci community based on NLP of WebSci publications. This page points to the tools and data sources, and shares some of the results.
Please feel free to make use of these data. If you do, we'd love to hear what you find: do let us know by emailing my first name at this domain.
ToolsSaffron is a system developed at DERI that provides insights in a research community or organization by analysing its main terms of investigation and the experts associated with these terms.
Gephi is a network visualisation and exploration tool.
Data sourcesOur analysis encompassed:
- the materials hosted on journal.webscience.org (proceedings of WebSci'09, '10, '11; OII Symposium on the Dynamics of the Internet and Society; Web Evolution Workshop 2008; Royal Society Discussion Meeting; PLE Conference 2011; WWW 2001)
- the WebSci'12 proceedings (in the ACM DL)
- Foundations & Trends in Web Science, from 1(1) to 3(2)
- Other key papers on Web Science:
ResultsAfter processing the data with Saffron and Gephi we had the following materials:
- The top 1000 terms (CSV)
- Terms from within the first three WebSci conferences, split by format and year (zip containing 5 CSVs)
- Gephi graph visualising the whole corpus (Gephi file)
- Gephi graph visualising the whole corpus, showing the 9 communities we detected (Gephi file)
- Gephi graph visualising the search engine community (Gephi file)
- Gephi graph visualising the social science community (Gephi file)