Visualizing a discipline: an author co-citation analysis of information science, 1972–1995
Journal of the American Society for Information Science
Software engineering as seen through its research literature: a study in co-word analysis
Journal of the American Society for Information Science
Trailblazing the literature of hypertext: author co-citation analysis (1989–1998)
Proceedings of the tenth ACM Conference on Hypertext and hypermedia : returning to our diverse roots: returning to our diverse roots
IEEE Intelligent Systems
Web science: a provocative invitation to computer science
Communications of the ACM - Smart business networks
Web science: an interdisciplinary approach to understanding the web
Communications of the ACM - Web science
International Journal of Hybrid Intelligent Systems - Hybrid Fuzzy Models
DERIUNLP: A context based approach to automatic keyphrase extraction
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Research on the semantic-based co-word analysis
Scientometrics
A graph-based algorithm for inducing lexical taxonomies from scratch
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Proceedings of the 3rd Annual ACM Web Science Conference
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Web Science is an interdisciplinary field. Motivated by the unforeseen scale and impact of the web, it addresses web-related research questions in a holistic manner, incorporating epistemologies from a broad set of disciplines. There has been ongoing discussion about which disciplines are more or less present in the community, and about defining Web Science itself: there is, however, a dearth of empirical work in this area. This paper presents an analysis of the presence of different disciplines in Web Science. We applied Natural Language Processing and topic extraction to a corpus of Web Science material, analysing it with graphing and visualisation tools, MatLab and an expert survey. We discovered four communities within Web Science, and trends in the conference series over time (a strong impact from collocation) and format (posters covering a broader range of topics than papers). The expert survey linked highly ranked terms with disciplines, yielding strong links with Communication, Computer Science, Psychology, and Sociology. Controversially, experts described highly ranked topics and suggested disciplines (extracted from WebSci CFPs) as not reflecting the nature of Web Science.