Applying weighted PageRank to author citation networks

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Titel: Applying weighted PageRank to author citation networks
Autoren: Ying Ding
Quelle: Journal of the American Society for Information Science and Technology. 62:236-245
Publication Status: Preprint
Verlagsinformationen: Wiley, 2010.
Publikationsjahr: 2010
Schlagwörter: FOS: Computer and information sciences, 05 social sciences, Computer Science - Digital Libraries, Digital Libraries (cs.DL), 0509 other social sciences
Beschreibung: 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
Publikationsart: Article
Sprache: English
ISSN: 1532-2882
DOI: 10.1002/asi.21452
DOI: 10.48550/arxiv.1102.1760
Zugangs-URL: https://scholarworks.iu.edu/dspace/bitstream/2022/12931/1/PPmeasure.pdf
http://arxiv.org/abs/1102.1760
https://scholarworks.iu.edu/dspace/handle/2022/12931
https://onlinelibrary.wiley.com/doi/10.1002/asi.21452
http://dblp.uni-trier.de/db/journals/jasis/jasis62.html#Ding11
https://ui.adsabs.harvard.edu/abs/2011arXiv1102.1760D/abstract
http://info.slis.indiana.edu/~dingying/Publication/PPmeasure.pdf
https://arxiv.org/abs/1102.1760
Rights: Wiley TDM
arXiv Non-Exclusive Distribution
Dokumentencode: edsair.doi.dedup.....42c15a89eb27fbb911b33b74d8d0232c
Datenbank: OpenAIRE
Beschreibung
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.<br />19 pages, 4 figures, 5 tables
ISSN:15322882
DOI:10.1002/asi.21452