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An analysis on communication theory and discipline

Author

Listed:
  • Chung Joo Chung

    (Kyungpook National University)

  • George A. Barnett

    (University of California)

  • Kitae Kim

    (State University of New York at Buffalo)

  • Derek Lackaff

    (Elon University)

Abstract

This research explores the structure and status of theories used in Communication as an alternative for Communication discipline identity research and characteristics evaluation. This research assumes that communication theories are not only ongoing practices of intellectual communities, but also discourse about how theory can address a range of channels, transcend specific technologies and bridge levels of analysis. It examines widely-cited theoretical contentions among academic articles and the connections among these theories. Network analysis suggests that framing theory is the most influential of the identified theories (ranking first in frequency and degree, closeness, betweenness and eigenvector centrality) and serves to link other communication theories and theory groups. While mass communication and technology theories exhibited the highest centrality, interpersonal, persuasion and organization communication theories were grouped together, integrating sub-theories of each group. Framing theory was the most popular and influential communication theory bridging not only mass communication theories, but also interpersonal, technology, information system, health, gender, inter-cultural and organizational communication theories.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:95:y:2013:i:3:d:10.1007_s11192-012-0869-4
    DOI: 10.1007/s11192-012-0869-4
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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. 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.
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    Cited by:

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    2. 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.
    3. 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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