Discovering author impact: A PageRank perspective
Digital Libraries
2010-12-23 v1
Abstract
This article provides an alternative perspective for measuring author impact by applying PageRank algorithm to a coauthorship network. A weighted PageRank algorithm considering citation and coauthorship network topology is proposed. We test this algorithm under different damping factors by evaluating author impact in the informetrics research community. In addition, we also compare this weighted PageRank with the h-index, citation, and program committee (PC) membership of the International Society for Scientometrics and Informetrics (ISSI) conferences. Findings show that this weighted PageRank algorithm provides reliable results in measuring author impact.
Keywords
Cite
@article{arxiv.1012.4870,
title = {Discovering author impact: A PageRank perspective},
author = {Erjia Yan and Ying Ding},
journal= {arXiv preprint arXiv:1012.4870},
year = {2010}
}
Comments
17 pages, 5 figures