Sidiropoulos, A; Manolopoulos, Y Generalized comparison of graph-based ranking algorithms for publications and authors JOURNAL OF SYSTEMS AND SOFTWARE, 79 (12): 1679-1700 DEC 2006

[Eugene Garfield]

E-mail Address: asidirop at delab.csd.auth.gr; manolopo at delab.csd.auth.gr 

Author(s): Sidiropoulos, A (Sidiropoulos, Antonis); Manolopoulos, Y 
(Manolopoulos, Yannis) 

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

Source: JOURNAL OF SYSTEMS AND SOFTWARE, 79 (12): 1679-1700 DEC 2006 

Language: English 

Document Type: Article 

Author Keywords: SCEAS system; ranking algorithms; citation analysis; 
citation graphs 
Abstract: 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 A ward'. (C) 2006 Elsevier Inc. All 
rights reserved. 

Addresses: Aristotle Univ Thessaloniki, Data Engn Lab, Dept Informat, 
Thessaloniki 54124, Greece 

Reprint Address: Sidiropoulos, A, Aristotle Univ Thessaloniki, Data Engn 
Lab, Dept Informat, Thessaloniki 54124, Greece. 

E-mail Address: asidirop at delab.csd.auth.gr; manolopo at delab.csd.auth.gr 

Cited Reference Count: 17 

Times Cited: 0 

Publisher: ELSEVIER SCIENCE INC 

Publisher Address: 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA 

ISSN: 0164-1212 

29-char Source Abbrev.: J SYST SOFTWARE 

ISO Source Abbrev.: J. Syst. Softw. 

Source Item Page Count: 22 

Subject Category: Computer Science, Software Engineering; Computer 
Science, Theory & Methods
 
ISI Document Delivery No.: 115UX 

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