Difference between revisions of "Qhe et al Detecting Topic Evo 2009"
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| + | This paper uses three methods to examine the structure of large-scale networks (focus in particular on citation networks//link needed) that evolve over time. This paper demonstrates how each of these methods can divide the structure of large-scale network. [http://www.supremecourt.gov/opinions/opinions.aspx A network of citations between opinions of the United States Supreme Court] is used as an example in this paper. | ||
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== '''Brief Description of Three Analysis Methods''' == | == '''Brief Description of Three Analysis Methods''' == | ||
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== '''Related Papers''' == | == '''Related Papers''' == | ||
Latest revision as of 16:54, 2 February 2011
Contents
Citation
E.A. Leicht, G. Clarkson, K. Shedden, and M.E.J. Newman.2007. Large-scale structure of time evolving citation networks.In European Physical Journal B.-Volume 59, P75–83.
Online Version
Structure of Time Evolving Citation Networks
Summary
This paper uses three methods to examine the structure of large-scale networks (focus in particular on citation networks//link needed) that evolve over time. This paper demonstrates how each of these methods can divide the structure of large-scale network. A network of citations between opinions of the United States Supreme Court is used as an example in this paper.
