EqRank: Theme Evolution in Citation Graphs
<|reference_start|>EqRank: Theme Evolution in Citation Graphs: 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.<|reference_end|>
@article{pivovarov2005eqrank:,
    title={EqRank: Theme Evolution in Citation Graphs},
    author={G. B. Pivovarov and S. E. Trunov},
    journal={arXiv preprint arXiv:cs/0512080},
    year={2005},
    archivePrefix={arXiv},
    eprint={cs/0512080},
    primaryClass={cs.DS cs.DL}
}