An evolutionary PageRank approach for journal ranking with expert judgements

[Eugene Garfield]

An evolutionary PageRank approach for journal ranking with expert judgements

Author(s): Chen, YL (Chen, Yen-Liang); Chen, XH (Chen, Xiang-Han)
Source: JOURNAL OF INFORMATION SCIENCE  Volume: 37  Issue: 3  Pages: 
254-272  DOI: 10.1177/0165551511402421  Published: JUN 2011  

Abstract: The journal ranking problem has drawn a great deal of attention from 
researchers in various fields due to its importance in the evaluation of academic 
performance. Most previous studies solved the problem with either a subjective 
approach, based on expert survey metrics, or an objective approach, based on 
citation-based metrics. Since both have their own advantages and 
disadvantages, and since they are usually complementary, this work proposes a 
brand new approach that integrates the two. In this work, we propose the 
Evolutionary PageRank algorithm, which first uses the PageRank algorithm to 
evaluate journal prestige and then uses the Multi-Objective Particle Swarm 
Optimization to balance citation analysis and expert opinion. Experiments 
evaluating ranking quality were carried out with citation records and experts' 
surveys to show the effectiveness of the proposed method. The results 
indicate that the proposed method can improve PageRank journal ranking 
results.

Language: English
Document Type: Article
Author Keywords: citation-based approach; experts' survey method; journal 
ranking; PageRank; Particle Swarm Optimization
KeyWords Plus: PARTICLE SWARM OPTIMIZATION; IMPACT FACTOR; 
ACCELERATION COEFFICIENTS; CITATION ANALYSIS; SEARCH ENGINE; 
MANAGEMENT; ALGORITHM; SCHOLARS; QUALITY; MIS

Addresses: [Chen, YL; Chen, XH] Natl Cent Univ, Dept Informat Management, 
Jung Li City 32001, Taoyuan County, Taiwan
Reprint Address: Chen, YL (reprint author), Natl Cent Univ, Dept Informat 
Management, 300 Jung Da Rd, Jung Li City 32001, Taoyuan County, Taiwan

E-mail Address: ylchen at mgt.ncu.edu.tw
ISSN: 0165-5515
URL: http://jis.sagepub.com/content/37/3/254.abstract?rss=1