Generalized comparison of graph-based ranking algorithms for publications and authors

Citation analysis helps in evaluating the impact of scientific collections (journals and conferences), publications and scholar authors. In this paper we examine known algorithms that are currently used for Link Analysis Ranking, and present their weaknesses over specific examples. We also introduce...

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Veröffentlicht in:The Journal of systems and software Jg. 79; H. 12; S. 1679 - 1700
Hauptverfasser: Sidiropoulos, Antonis, Manolopoulos, Yannis
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Elsevier Inc 01.12.2006
Elsevier Sequoia S.A
Schlagworte:
Algorithms
Awards & honors
Citation analysis
Citation graphs
Comparative analysis
Graph algorithms
Ranking algorithms
SCEAS System
Studies
Writers
SCEAS System
Citation graphs
Ranking algorithms
Citation analysis
ISSN:0164-1212, 1873-1228
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Zusammenfassung:Citation analysis helps in evaluating the impact of scientific collections (journals and conferences), publications and scholar authors. In this paper we examine known algorithms that are currently used for Link Analysis Ranking, and present their weaknesses over specific examples. We also introduce new alternative methods specifically designed for citation graphs. We use the SCEAS system as a base platform to introduce these new methods and perform a generalized comparison of all methods. We also introduce an aggregate function for the generation of author ranking based on publication ranking. Finally, we try to evaluate the rank results based on the prizes of ‘ VLDB 10 Year Award’, ‘ SIGMOD Test of Time Award’ and ‘ SIGMOD E.F.Codd Innovations Award’.
Bibliographie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0164-1212
1873-1228
DOI:10.1016/j.jss.2006.01.011