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Using social media data to explore communication processes within South Korean online innovation communities

Author

Listed:
  • Sujin Choi

    (The University of Texas)

  • Ji-young Park

    (YeungNam University)

  • Han Woo Park

    (YeungNam University)

Abstract

In order to explore new scientific and innovative communities, analyses based on a technological infrastructure and its related tools, for example, ‘Web of science’ database for Scientometric analysis, are necessary. However, there is little systematic documentation of social media data and webometric analysis in relation to Korean and broader Asian innovation communities. In this short communication, we present (1) webometric techniques to identify communication processes on the Internet, such as social media data collection and analysis using an API-based application; and (2) experimentation with new types of data visualization using NodeXL, such as social and semantic network analysis. Our research data is drawn from the social networking site, Twitter. We also examine the overlap between innovation communities in terms of their shared members, and then, (3) calculate entropy values for trilateral relationships.

Suggested Citation

  • Sujin Choi & Ji-young Park & Han Woo Park, 2012. "Using social media data to explore communication processes within South Korean online innovation communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 43-56, January.
    • Handle: RePEc:spr:scient:v:90:y:2012:i:1:d:10.1007_s11192-011-0514-7
    DOI: 10.1007/s11192-011-0514-7
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    References listed on IDEAS

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    1. Bernard J. Jansen & Mimi Zhang & Kate Sobel & Abdur Chowdury, 2009. "Twitter power: Tweets as electronic word of mouth," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(11), pages 2169-2188, November.
    2. Isidro F. Aguillo & José L. Ortega & Mario Fernández & Ana M. Utrilla, 2010. "Indicators for a webometric ranking of open access repositories," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(3), pages 477-486, March.
    3. Loet Leydesdorff, 2003. "The mutual information of university-industry-government relations: An indicator of the Triple Helix dynamics," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 445-467, October.
    4. Jon Mikel Zabala-Iturriagagoitia & Fernando Jiménez-Sáez & Elena Castro-Martínez & Antonio Gutiérrez-Gracia, 2007. "What indicators do (or do not) tell us about Regional Innovation Systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 85-106, January.
    5. Ülle Must, 2006. "“New”countries in Europe - Research, development and innovation strategies vs bibliometric data," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(2), pages 241-248, February.
    6. Kim Holmberg, 2010. "Co-inlinking to a municipal Web space: a webometric and content analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 851-862, June.
    7. Lennart Björneborn & Peter Ingwersen, 2001. "Perspective of webometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 50(1), pages 65-82, January.
    8. Park, Han Woo & Leydesdorff, Loet, 2010. "Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives," Research Policy, Elsevier, vol. 39(5), pages 640-649, June.
    9. Pamela Lang & Fábio C. Gouveia & Jacqueline Leta, 2010. "Site co-link analysis applied to small networks: a new methodological approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 157-166, April.
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    Cited by:

    1. Weiai Xu & I-Hsuan Chiu & Yixin Chen & Tanuka Mukherjee, 2015. "Twitter hashtags for health: applying network and content analyses to understand the health knowledge sharing in a Twitter-based community of practice," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1361-1380, July.
    2. Minjeong Kim & Yun-Cheol Heo & Seong-Cheol Choi & Han Park, 2014. "Comparative trends in global communication networks of #Kpop tweets," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2687-2702, September.
    3. Chung Joo Chung & Han Woo Park, 2014. "Mapping Triple Helix innovation in developing and transitional economies: webometrics, scientometrics, and informetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 1-4, April.
    4. Kim Holmberg & Mike Thelwall, 2014. "Disciplinary differences in Twitter scholarly communication," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1027-1042, November.
    5. Marko M. Skoric, 2014. "The implications of big data for developing and transitional economies: Extending the Triple Helix?," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 175-186, April.
    6. 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.
    7. Jinlou Zhao & Hongyu Gao & Yongli Li & Jiaguo Liu, 2017. "Which factors affect the duration of hot topics on social media platforms?," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 2395-2407, September.

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