Abstract
In this paper we review two well-known citation methods to find relatedness between scientific papers: co-citation and bibliographic coupling. We propose a practical method to estimate the co-citation relatedness using the Google search engine. We call this method Web co-citation. We conducted experiments on a collection of scientific papers to compare the performances of different methods. The experimental results show that our approach, despite its simplicity, is efficient in discovering the relatedness between scientific papers.
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© 2007 Springer-Verlag Berlin Heidelberg
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Van, TT., Beigbeder, M. (2007). Web Co-citation: Discovering Relatedness Between Scientific Papers. In: Wegrzyn-Wolska, K.M., Szczepaniak, P.S. (eds) Advances in Intelligent Web Mastering. Advances in Soft Computing, vol 43. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72575-6_55
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DOI: https://doi.org/10.1007/978-3-540-72575-6_55
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72574-9
Online ISBN: 978-3-540-72575-6
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