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Mapping a Twitter scholarly communication network: a case of the association of internet researchers’ conference

Author

Listed:
  • Mi Kyung Lee

    (Yeungnam University)

  • Ho Young Yoon

    (University of Wisconsin-Madison)

  • Marc Smith

    (Social Media Research Foundation)

  • Hye Jin Park

    (University at Albany, SUNY)

  • Han Woo Park

    (Yeungnam University)

Abstract

This paper investigates how scholars in the digital humanities use Twitter for informal scholarly communication. In particular, the paper observes the hosting of an annual conference over a number of years by one association in order to see whether there was a change in the network configuration structure, the influential scholars in the network, the information sources, and the tweet contents. Annual conferences held by the Association of Internet Researchers over 3 years are used for data collection. According to our result, while the Twitter communication network developed into a bigger network, the basic form of the network configuration remained stable as a Tight Crowd structure and the core influential people were not much changed. Analyses on information source and content found topic changes in each year but consistency in the kind of information source and content.

Suggested Citation

  • Mi Kyung Lee & Ho Young Yoon & Marc Smith & Hye Jin Park & Han Woo Park, 2017. "Mapping a Twitter scholarly communication network: a case of the association of internet researchers’ conference," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 767-797, August.
    • Handle: RePEc:spr:scient:v:112:y:2017:i:2:d:10.1007_s11192-017-2413-z
    DOI: 10.1007/s11192-017-2413-z
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    References listed on IDEAS

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    1. Lutz Bornmann & Robin Haunschild, 2016. "How to normalize Twitter counts? A first attempt based on journals in the Twitter Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1405-1422, June.
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    3. Mike Thelwall & Kayvan Kousha, 2015. "ResearchGate: Disseminating, communicating, and measuring Scholarship?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(5), pages 876-889, May.
    4. Kim Holmberg & Mike Thelwall, 2014. "Disciplinary differences in Twitter scholarly communication," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1027-1042, November.
    5. Richard Van Noorden, 2014. "Online collaboration: Scientists and the social network," Nature, Nature, vol. 512(7513), pages 126-129, August.
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    Cited by:

    1. Meijun Liu & Xiao Hu & Jiang Li, 2018. "Knowledge flow in China’s humanities and social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 607-626, March.
    2. Hou, Jianhua & Wang, Yuanyuan & Zhang, Yang & Wang, Dongyi, 2022. "How do scholars and non-scholars participate in dataset dissemination on Twitter," Journal of Informetrics, Elsevier, vol. 16(1).

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