EqRank: Theme Evolution in Citation Graphs
数据结构与算法
2007-05-23 v1 数字图书馆
摘要
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.
引用
@article{arxiv.cs/0512080,
title = {EqRank: Theme Evolution in Citation Graphs},
author = {G. B. Pivovarov and S. E. Trunov},
journal= {arXiv preprint arXiv:cs/0512080},
year = {2007}
}
备注
8 pages, 7 figs, 2 tables