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Citations among communication journals and other disciplines: a network analysis

Author

Listed:
  • George A. Barnett

    (University of California – Davis)

  • Catherine Huh

    (University of California – Davis)

  • Youngju Kim

    (University of California – Davis)

  • Han Woo Park

    (YeungNam University)

Abstract

This article describes the results of a network analysis based on the citation among Communication journals and those academic disciplines that are cited by those journals labeled as “Communication” by the Web of Science. The results indicate that the journals indexed solely as Communication rather than those also tagged as another social science are more central in the citation network. Further, a cluster analysis of the cited disciplines revealed three groupings, a micro psychological cluster, a macro socio-political group and a woman’s studies clique. A two-mode network analysis found that the most central Communication journals cited multiple clusters, while the peripheral journals cited only one, suggesting that the structure of influence on the field of Communication is more complex than suggested by Park and Leydesdorff (Scientometrics 81(1):157–175, 2009). Also, the results indicate that the macro cluster is about twice as influential as the micro cluster, rather than as Park and Leydesdorff suggest that Psychology is the discipline’s primary influence.

Suggested Citation

  • George A. Barnett & Catherine Huh & Youngju Kim & Han Woo Park, 2011. "Citations among communication journals and other disciplines: a network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 449-469, August.
    • Handle: RePEc:spr:scient:v:88:y:2011:i:2:d:10.1007_s11192-011-0381-2
    DOI: 10.1007/s11192-011-0381-2
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    References listed on IDEAS

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    1. Han Woo Park & Loet Leydesdorff, 2009. "Knowledge linkage structures in communication studies using citation analysis among communication journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 157-175, October.
    2. Stephen Johnson, 1967. "Hierarchical clustering schemes," Psychometrika, Springer;The Psychometric Society, vol. 32(3), pages 241-254, September.
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    Cited by:

    1. Hyejin Park & Han Woo Park, 2018. "Two-side face of knowledge building using scientometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(6), pages 2815-2836, November.
    2. George A. Barnett & Han Woo Park, 2023. "Co-authorship among the Fellows of the International Communication Association," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3401-3418, June.
    3. Kuntner, Tobias & Teichert, Thorsten, 2016. "The scope of price promotion research: An informetric study," Journal of Business Research, Elsevier, vol. 69(8), pages 2687-2696.
    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. Yutao Sun & Belle Selene Xia, 2016. "The scholarly communication of economic knowledge: a citation analysis of Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1965-1978, December.
    6. Stanley D. Brunn, 2014. "Cyberspace Knowledge Gaps and Boundaries in Sustainability Science: Topics, Regions, Editorial Teams and Journals," Sustainability, MDPI, vol. 6(10), pages 1-28, September.
    7. Brian H Spitzberg, 2018. "Framing the Game: An Architectonic Analogue for Meta-Theorizing Academic Activities," Studies in Media and Communication, Redfame publishing, vol. 6(1), pages 11-25, June.
    8. Gohar Feroz Khan & Sungjoon Lee & Ji Young Park & Han Woo Park, 2016. "Theories in communication science: a structural analysis using webometrics and social network approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 531-557, August.
    9. Alicia Moreno-Delgado & Juan Gorraiz & Rafael Repiso, 2021. "Assessing the publication output on country level in the research field communication using Garfield’s Impact Factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5983-6000, July.
    10. Saikou Y. Diallo & Christopher J. Lynch & Ross Gore & Jose J. Padilla, 2016. "Identifying key papers within a journal via network centrality measures," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1005-1020, June.
    11. Don Watson & Manfred Krug & Claus-Christian Carbon, 2022. "The relationship between citations and the linguistic traits of specific academic discourse communities identified by using social network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1755-1781, April.
    12. Chung Joo Chung & George A. Barnett & Kitae Kim & Derek Lackaff, 2013. "An analysis on communication theory and discipline," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 985-1002, June.
    13. Zhongqiu Liu & Yaolin Liu & Yangjie Guo & Hua Wang, 2013. "Progress in global parallel computing research: a bibliometric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(3), pages 967-983, June.
    14. Sangyoon Yi & Jinho Choi, 2012. "The organization of scientific knowledge: the structural characteristics of keyword networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(3), pages 1015-1026, March.

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