Detecting research topics via the correlation between graphs and texts

  title={Detecting research topics via the correlation between graphs and texts},
  author={Yookyung Jo and Carl Lagoze and C. Lee Giles},
In this paper we address the problem of detecting topics in large-scale linked document collections. Recently, topic detection has become a very active area of research due to its utility for information navigation, trend analysis, and high-level description of data. We present a unique approach that uses the correlation between the distribution of a term that represents a topic and the link distribution in the citation graph where the nodes are limited to the documents containing the term… CONTINUE READING
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