Applying weighted PageRank to author citation networks
arXiv:1102.1760
Abstract
This paper aims to identify whether different weighted PageRank algorithms can be applied to author citation networks to measure the popularity and prestige of a scholar from a citation perspective. Information Retrieval (IR) was selected as a test field and data from 1956-2008 were collected from Web of Science (WOS). Weighted PageRank with citation and publication as weighted vectors were calculated on author citation networks. The results indicate that both popularity rank and prestige rank were highly correlated with the weighted PageRank. Principal Component Analysis (PCA) was conducted to detect relationships among these different measures. For capturing prize winners within the IR field, prestige rank outperformed all the other measures.
19 pages, 4 figures, 5 tables
References in corpus (5)
- An index to quantify an individual's scientific research output
- How Popular is Your Paper? An Empirical Study of the Citation Distribution
- Finding Scientific Gems with Google
- Diffusion of scientific credits and the ranking of scientists
- Promise and Pitfalls of Extending Google's PageRank Algorithm to Citation Networks