IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v108y2016i2d10.1007_s11192-015-1822-0.html
   My bibliography  Save this article

Theories in communication science: a structural analysis using webometrics and social network approach

Author

Listed:
  • Gohar Feroz Khan

    (Keimyung University)

  • Sungjoon Lee

    (Cheongju University)

  • Ji Young Park

    (YeungNam University)

  • Han Woo Park

    (YeungNam University)

Abstract

This exploratory study analyzes the networked structure of theories in social sciences represented by co-occurrences on the World Wide Web. For this, co-occurrences of communication science theories were retrieved from the Web and analyzed using social network analysis tools. Several networks and node-level properties were measured to examine the relationships of theories in terms of co-occurrences. Communication science theories were grouped into four clusters. The results shed some important light on structural dynamics of communication science theories on the academic and social Web.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:108:y:2016:i:2:d:10.1007_s11192-015-1822-0
    DOI: 10.1007/s11192-015-1822-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-015-1822-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-015-1822-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Patrick Kenekayoro & Kevan Buckley & Mike Thelwall, 2015. "Clustering research group website homepages," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2023-2039, March.
    2. Ying Huang & Jannik Schuehle & Alan L. Porter & Jan Youtie, 2015. "A systematic method to create search strategies for emerging technologies based on the Web of Science: illustrated for ‘Big Data’," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2005-2022, December.
    3. 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.
    4. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    5. Han Woo Park, 2014. "Mapping election campaigns through negative entropy: Triple and Quadruple Helix approach to South Korea’s 2012 presidential election," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 187-197, April.
    6. Bornmann, Lutz, 2014. "Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics," Journal of Informetrics, Elsevier, vol. 8(4), pages 895-903.
    7. Chung Joo Chung & Han Woo Park, 2012. "Web visibility of scholars in media and communication journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 207-215, October.
    8. 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.
    9. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huiping Wang & Qi Ge, 2022. "Analysis of the Spatial Association Network of PM 2.5 and Its Influencing Factors in China," IJERPH, MDPI, vol. 19(19), pages 1-15, October.
    2. Yadav, Jitendra & Yadav, Rambalak & Sahore, Nidhi & Mendiratta, Aparna, 2023. "Digital social engagements and knowledge sharing among sports fans: Role of interaction, identification, and interface," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    3. Yu-Peng Zhu & Han-Woo Park, 2022. "Use of Triangulation in Comparing the Blockchain Knowledge Structure between China and South Korea: Scientometric Network, Topic Modeling, and Prediction Technique," Sustainability, MDPI, vol. 14(4), pages 1-16, February.
    4. Arif Mehmood & Gyu Sang Choi & Otto F. Feigenblatt & Han Woo Park, 2016. "Proving ground for social network analysis in the emerging research area “Internet of Things” (IoT)," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 185-201, October.
    5. Leizhou Zhu & Yaping Huang, 2022. "A Framework for Analyzing the Family Urbanization of China from a “Culture–Institution” Perspective," Land, MDPI, vol. 11(12), pages 1-15, November.
    6. Katja Rost & Thorsten Teichert & Alan Pilkington, 2017. "Social network analytics for advanced bibliometrics: referring to actor roles of management journals instead of journal rankings," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1631-1657, September.
    7. Barbara McGillivray & Gard B. Jenset & Khalid Salama & Donna Schut, 2022. "Investigating patterns of change, stability, and interaction among scientific disciplines using embeddings," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-15, December.
    8. Rafael Repiso & Antonio Castillo-Esparcia & Daniel Torres-Salinas, 2019. "Altmetrics, alternative indicators for Web of Science Communication studies journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 941-958, May.
    9. Versteeg, T. & Baumann, M.J. & Weil, M. & Moniz, A.B., 2017. "Exploring emerging battery technology for grid-connected energy storage with Constructive Technology Assessment," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 99-110.
    10. Arif Mehmood & Byung-Won On & Ingyu Lee & Han Woo Park & Gyu Sang Choi, 2018. "Corroborating social media echelon in cancer research," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 801-813, March.
    11. Hyo Chan Park & Jonghee M. Youn & Han Woo Park, 2019. "Global mapping of scientific information exchange using altmetric data," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 935-955, March.
    12. Xiaolong Xue & Liang Wang & Rebecca J. Yang, 2018. "Exploring the science of resilience: critical review and bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(1), pages 477-510, January.
    13. Feng Wang & Jing Ren & Juan Liu & Mingru Dong & Bin Yan & Hui Zhao, 2021. "Spatial correlation network and population mobility effect of regional haze pollution: empirical evidence from Pearl River Delta urban agglomeration in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 15881-15896, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    4. 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.
    5. Fuzhen Liu & Kee-hung Lai & Wei Cai, 2021. "Responsible Production for Sustainability: Concept Analysis and Bibliometric Review," Sustainability, MDPI, vol. 13(3), pages 1-27, January.
    6. Hyo Chan Park & Jonghee M. Youn & Han Woo Park, 2019. "Global mapping of scientific information exchange using altmetric data," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 935-955, March.
    7. Vítor Vasata Macchi Silva & José Luis Duarte Ribeiro & Gonzalo Rubén Alvarez & Sonia Elisa Caregnato, 2019. "Competence-Based Management Research in the Web of Science and Scopus Databases: Scientific Production, Collaboration, and Impact," Publications, MDPI, vol. 7(4), pages 1-21, September.
    8. Rafael Repiso & Antonio Castillo-Esparcia & Daniel Torres-Salinas, 2019. "Altmetrics, alternative indicators for Web of Science Communication studies journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 941-958, May.
    9. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.
    10. Muñoz-Écija, Teresa & Vargas-Quesada, Benjamín & Chinchilla Rodríguez, Zaida, 2019. "Coping with methods for delineating emerging fields: Nanoscience and nanotechnology as a case study," Journal of Informetrics, Elsevier, vol. 13(4).
    11. 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.
    12. Xiaozan Lyu & Rodrigo Costas, 2021. "Studying the characteristics of scientific communities using individual-level bibliometrics: the case of Big Data research," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6965-6987, August.
    13. Philip Shapira & Seokbeom Kwon & Jan Youtie, 2017. "Tracking the emergence of synthetic biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1439-1469, September.
    14. Lutz Bornmann & Robin Haunschild & Sven E. Hug, 2018. "Visualizing the context of citations referencing papers published by Eugene Garfield: a new type of keyword co-occurrence analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 427-437, February.
    15. Deming Lin & Tianhui Gong & Wenbin Liu & Martin Meyer, 2020. "An entropy-based measure for the evolution of h index research," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2283-2298, December.
    16. Akinpelu, O.A. & Olaleye, O. & Fagbola, O., 2023. "The Soil Organic Matter Decomposers: A Bibliometric Analysis," International Journal of Agriculture and Environmental Research, Malwa International Journals Publication, vol. 9(4), August.
    17. Muhammad Farooq Islam & Ozge Can, 2024. "Integrating digital and sustainable entrepreneurship through business models: a bibliometric analysis," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 14(1), pages 1-18, December.
    18. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    19. J. Gómez-Verjan & I. Gonzalez-Sanchez & E. Estrella-Parra & R. Reyes-Chilpa, 2015. "Trends in the chemical and pharmacological research on the tropical trees Calophyllum brasiliense and Calophyllum inophyllum, a global context," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1019-1030, November.
    20. Luis Araya-Castillo & Felipe Hernández-Perlines & Hugo Moraga & Antonio Ariza-Montes, 2021. "Scientometric Analysis of Research on Socioemotional Wealth," Sustainability, MDPI, vol. 13(7), pages 1-26, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:108:y:2016:i:2:d:10.1007_s11192-015-1822-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.