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.
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Quirin, A., Cordón, O., Shelokar, P., Zarco, C. (2010). Analysis of the Time Evolution of Scientograms Using the Subdue Graph Mining Algorithm. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Computational Intelligence for Knowledge-Based Systems Design. IPMU 2010. Lecture Notes in Computer Science(), vol 6178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14049-5_32
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DOI: https://doi.org/10.1007/978-3-642-14049-5_32
Publisher Name: Springer, Berlin, Heidelberg
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