Analysis of the time evolution of scientograms using the subdue graph mining algorithm

Authors:
Arnaud Quirin;Oscar Cordón;Prakash Shelokar;Carmen Zarco
Affiliations:
European Centre for Soft Computing, Edf. Científico Tecnológico, Mieres, Spain;European Centre for Soft Computing, Edf. Científico Tecnológico, Mieres, Spain;European Centre for Soft Computing, Edf. Científico Tecnológico, Mieres, Spain;European Centre for Soft Computing, Edf. Científico Tecnológico, Mieres, Spain
Venue:
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Year:
2010

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Abstract

Scientograms are a kind of graph representations depicting the state of Science in a specific domain. The automatic comparison and analysis of a set of scientograms, to show for instance the evolution of a scientific domain of a given country, is an interesting but challenging task as the handled data is huge and complex. In this paper, we aim to show that graph mining tools are useful to deal with scientogram analysis. We have chosen Subdue, a well-known graph mining algorithm, as a first approach for this purpose. Its operation mode has been customized for the study of the evolution of a scientific domain over time. Our case study clearly shows the potential of graph mining tools in scientogram analysis and it opens the door for a large number of future developments.