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...
Uloženo v:
| Vydáno v: | The Journal of systems and software Ročník 79; číslo 12; s. 1679 - 1700 |
|---|---|
| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
New York
Elsevier Inc
01.12.2006
Elsevier Sequoia S.A |
| Témata: | |
| ISSN: | 0164-1212, 1873-1228 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Shrnutí: | 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’. |
|---|---|
| Bibliografie: | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 |
| ISSN: | 0164-1212 1873-1228 |
| DOI: | 10.1016/j.jss.2006.01.011 |