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 |
| 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 |
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