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Central journals and authors in communication using a publication network

Author

Listed:
  • Darrin J. Griffin

    (University of Alabama)

  • San Bolkan

    (California State University)

  • Jennifer L. Holmgren

    (Long Beach City College)

  • Frank Tutzauer

    (University at Buffalo, SUNY)

Abstract

The current study used citation data and relied on network analysis to determine centrality scores for 24 communication journals and the authors of their publications during the years 2007–2011. Scores were used to rank journals and authors across the discipline. The results of centrality rankings reveal that Journal of Communication, Communication Research, Communication Research Reports, Human Communication Research, and Communication Studies are the central most journals in the citation network. Across these 24 journals, the top 1 % of central most scholars are presented in rank based on the placement of their publications. An additional list ranks the 14 central most (1 %) of scholars who published in the five central most journals. These centrality rankings for the journals and authors are discussed in comparison to previous ranking methods. The results for the central most journals mirror the findings of other network analysis research relying on various citation data. However, the findings for author centrality rankings revealed that traditional methods (e.g., summing total publications) for ranking communication scholars yield drastically different results when compared to centrality rankings (incorporating breadth of publications across journals). Future attempts to situate prolific authors should consider the conceptual utility of relying on network analysis methods to analyze citation data. The limitations of this study are also discussed.

Suggested Citation

  • Darrin J. Griffin & San Bolkan & Jennifer L. Holmgren & Frank Tutzauer, 2016. "Central journals and authors in communication using a publication network," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 91-104, January.
    • Handle: RePEc:spr:scient:v:106:y:2016:i:1:d:10.1007_s11192-015-1774-4
    DOI: 10.1007/s11192-015-1774-4
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    References listed on IDEAS

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    1. Abbasi, Alireza & Altmann, Jörn & Hossain, Liaquat, 2011. "Identifying the effects of co-authorship networks on the performance of scholars: A correlation and regression analysis of performance measures and social network analysis measures," Journal of Informetrics, Elsevier, vol. 5(4), pages 594-607.
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    Cited by:

    1. Mehmet Ali Köseoglu & John A. Parnell & Melissa Yan Yee Yick, 2021. "Identifying influential studies and maturity level in intellectual structure of fields: evidence from strategic management," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1271-1309, February.
    2. Manuel Goyanes & Márton Demeter & Aurea Grané & Irene Albarrán-Lozano & Homero Gil de Zúñiga, 2020. "A mathematical approach to assess research diversity: operationalization and applicability in communication sciences, political science, and beyond," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2299-2322, December.
    3. Darrin J. Griffin & Zachary W. Arth & Samuel D. Hakim & Brian C. Britt & James N. Gilbreath & Mackenzie P. Pike & Andrew J. Laningham & Fareed Bordbar & Sage Hart & San Bolkan, 2021. "Collaborations in communication: Authorship credit allocation via a weighted fractional count procedure," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4355-4372, May.
    4. Keeheon Lee & Hyojung Jung & Min Song, 2016. "Subject–method topic network analysis in communication studies," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1761-1787, December.
    5. Massimiliano Ferrara & Roberto Mavilia & Bruno Antonio Pansera, 2017. "Extracting knowledge patterns with a social network analysis approach: an alternative methodology for assessing the impact of power inventors," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1593-1625, December.

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