Journal
SCIENTOMETRICS
Volume -, Issue -, Pages -Publisher
SPRINGER
DOI: 10.1007/s11192-023-04861-9
Keywords
Bibliometrics; Citation analysis; Social network analysis; Public administration
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This study utilizes network analysis methods to uncover the network structures and subgroups in academic journal publishing in the field of public administration. It finds that the citation networks in public administration became more centralized and clustered over time, with certain journals consistently holding central positions in the networks.
This study shows how network analyses, specifically whole network analysis, can be used to elicit network structures and identify subgroups in academic journal publishing in the field of public administration. To elicit the citation networks of the journals, we used social network analysis methods on the journal citations in the InCites Journal Citation Reports of the Web of Science (WoS) database at 4 time points: 2005, 2010, 2015, and 2020. We tested whether the citation networks had the characteristics of the small world network structure and/or a scale-free network structure. We found that the public administration citation networks became more centralized over time, while also becoming more clustered. Public Administration Review and the Journal of Public Administration Research and Theory were consistently the most central journals in the networks over the years. The citations networks were also clustered. Particularly, public policy journals, which are classified within the public administration category in WoS, tended to be clustered together. We conclude that the public administration journal citation networks had both scale-free characteristics and small-world characteristics in the first two decades of the twenty-first century.
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