In earlier papers we characterised the notion of diachronic topic-based communities –i.e., communities of people who work on semantically related topics at the same time. These communities are important to enable topic-centred analyses of the dynamics of the research world. In this paper we present an innovative algorithm, called Research Communities Map Builder (RCMB), which is able to automatically link diachronic topic-based communities over subsequent time intervals to identify significant events. These include topic shifts within a research community; the appearance and fading of a community; communities splitting, merging, spawning other communities; and others. The output of our algorithm is a map of research communities, annotated with the detected events, which provides a concise visual representation of the dynamics of a research area. In contrast with existing approaches, RCMB enables a much more finegrained understanding of the evolution of research communities, with respect to both the granularity of the events and the granularity of the topics. This improved understanding can, for example, inform the research strategies of funders and researchers alike. We illustrate our approach with two case studies, highlighting the main communities and events that characterized the World Wide Web and Semantic Web areas in the 2000 – 2010 decade.

Osborne, F., Scavo, G., Motta, E. (2014). A hybrid semantic approach to building dynamic maps of research communities. In Knowledge Engineering and Knowledge Management. EKAW 2014 (pp.356-372). NLD : Springer Verlag [10.1007/978-3-319-13704-9_28].

A hybrid semantic approach to building dynamic maps of research communities

Osborne F;
2014

Abstract

In earlier papers we characterised the notion of diachronic topic-based communities –i.e., communities of people who work on semantically related topics at the same time. These communities are important to enable topic-centred analyses of the dynamics of the research world. In this paper we present an innovative algorithm, called Research Communities Map Builder (RCMB), which is able to automatically link diachronic topic-based communities over subsequent time intervals to identify significant events. These include topic shifts within a research community; the appearance and fading of a community; communities splitting, merging, spawning other communities; and others. The output of our algorithm is a map of research communities, annotated with the detected events, which provides a concise visual representation of the dynamics of a research area. In contrast with existing approaches, RCMB enables a much more finegrained understanding of the evolution of research communities, with respect to both the granularity of the events and the granularity of the topics. This improved understanding can, for example, inform the research strategies of funders and researchers alike. We illustrate our approach with two case studies, highlighting the main communities and events that characterized the World Wide Web and Semantic Web areas in the 2000 – 2010 decade.
Si
paper
Change Detection; Community Detection; Data Mining; Pattern Recognition; Scholarly Data; Semantic Web; Trend Detection;
English
19th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2014 - 24 November 2014 through 28 November 2014
978-331913703-2
https://link.springer.com/chapter/10.1007/978-3-319-13704-9_28
Osborne, F., Scavo, G., Motta, E. (2014). A hybrid semantic approach to building dynamic maps of research communities. In Knowledge Engineering and Knowledge Management. EKAW 2014 (pp.356-372). NLD : Springer Verlag [10.1007/978-3-319-13704-9_28].
Osborne, F; Scavo, G; Motta, E
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/381589
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