EqRank: Theme Evolution in Citation Graphs

Details EqRank: Theme Evolution in Citation Graphs EqRank: Theme Evolution in Citation Graphs

2005-12-20

arxiv.org/abs/cs/0512080v1

Computer Science

Data Structures and Algorithms

8 pages, 7 figs, 2 tables

Scientific paper

Time evolution of the classification scheme generated by the EqRank algorithm is studied with hep-th citation graph as an example. Intuitive expectations about evolution of an adequate classification scheme for a growing set of objects are formulated. Evolution compliant with these expectations is called natural. It is demonstrated that EqRank yields a naturally evolving classification scheme. We conclude that EqRank can be used as a means to detect new scientific themes, and to track their development.

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