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http://dx.doi.org/10.14400/JDC.2016.14.9.301

Investigating Journal Citation Network with Centrality Measures in the Public Administration and Policy Field  

Choe, Jong-Mook (Dept. of Public Administration, Korea University)
Publication Information
Journal of Digital Convergence / v.14, no.9, 2016 , pp. 301-308 More about this Journal
Abstract
Writing high-quality papers and publishing them at prestigious academic journals would be something that every scholar strives for. This study made a network with nine academic journals in South Korea in the field of public administration and public policy and analyzed the influence of academic journals through social network analysis. Using centrality measures, such as degree centrality, beta centrality, and eigenvector centrality, this study found that Korean Public Administration Review has the highest influence on the journal network, followed by Korean Public Studies Review. However, different choice of centrality measure led to different ranking of journals in terms of their influence.
Keywords
Social Network Analysis; Cross-citation; Degree Centrality; Beta Centrality; Eigenvector Centrality;
Citations & Related Records
Times Cited By KSCI : 11  (Citation Analysis)
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