EqRank: Theme Evolution in Citation Graphs

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dc.creatorPivovarov, G. B.
dc.creatorTrunov, S. E.
dc.date2005-12-20
dc.date.accessioned2026-07-07T06:53:52Z
dc.date.available2026-07-07T06:53:52Z
dc.descriptionTime 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.
dc.description8 pages, 7 figs, 2 tables
dc.identifierhttps://arxiv.org/abs/cs/0512080
dc.identifierhttp://arxiv.org/abs/cs/0512080
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/105739
dc.subjectData Structures and Algorithms
dc.subjectDigital Libraries
dc.titleEqRank: Theme Evolution in Citation Graphs
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