Assessing Document Relevance by Modeling Citation Networks with Probabilistic Graphs

Abstract

Paper citation networks are a traditional social medium for the exchange of ideas and knowledge. In this paper we use citation networks as a mean to assess both the importance of the citations of a paper and to identify relevant papers. We addressed these problems by modeling the citation network with a probabilistic graph useful to infer unknown links… (More)
DOI: 10.1016/j.procs.2014.10.013

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