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Strategies affecting Twitter-based networking pattern of South Korean politicians: social network analysis and exponential random graph model

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  • Ho Yoon
  • Han Park

Abstract

This paper examines the Twitter networking pattern of “following” and “mention” relationships between South Korean politicians. The data were obtained from the Twitter profiles of Korea’s national assemblymen and the most influential political figures. We conducted social network techniques including exponential random graph model and a regression method. The results suggest that these politicians employ two different strategies to establish relationships with other politicians on Twitter. One is “following” other politicians as a social ritual based on dyadic reciprocity, and the other is to “mention” other politicians as asymmetric political support based on the public popularity of their peers on Twitter. Copyright Springer Science+Business Media Dordrecht 2014

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  • Ho Yoon & Han Park, 2014. "Strategies affecting Twitter-based networking pattern of South Korean politicians: social network analysis and exponential random graph model," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 409-423, January.
    • Handle: RePEc:spr:qualqt:v:48:y:2014:i:1:p:409-423
    DOI: 10.1007/s11135-012-9777-1
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    References listed on IDEAS

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    1. Fowler, James H., 2006. "Connecting the Congress: A Study of Cosponsorship Networks," Political Analysis, Cambridge University Press, vol. 14(4), pages 456-487, October.
    2. Zhang, Yan & Friend, A.J. & Traud, Amanda L. & Porter, Mason A. & Fowler, James H. & Mucha, Peter J., 2008. "Community structure in Congressional cosponsorship networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(7), pages 1705-1712.
    3. Jang Hyun Kim & George A. Barnett & Han Woo Park, 2010. "A hyperlink and issue network analysis of the United States Senate: A rediscovery of the Web as a relational and topical medium," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 61(8), pages 1598-1611, August.
    4. Minjeong Kim & Han Woo Park, 2012. "Measuring Twitter-based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 90(1), pages 121-140, January.
    5. Jang Hyun Kim & George A. Barnett & Han Woo Park, 2010. "A hyperlink and issue network analysis of the United States Senate: A rediscovery of the Web as a relational and topical medium," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(8), pages 1598-1611, August.
    6. Han Park & Mike Thelwall, 2008. "Link analysis: Hyperlink patterns and social structure on politicians’ Web sites in South Korea," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(5), pages 687-697, October.
    7. Chi Feng & Yang Nathan, 2011. "Twitter Adoption in Congress," Review of Network Economics, De Gruyter, vol. 10(1), pages 1-46, March.
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    Cited by:

    1. Ahn, Sang-Jin & Yoon, Ho Young & Lee, Young-Joo, 2021. "Text mining as a tool for real-time technology assessment: Application to the cross-national comparative study on artificial organ technology," Technology in Society, Elsevier, vol. 66(C).
    2. Xanat Vargas Meza & Han Park, 2015. "Globalization of cultural products: a webometric analysis of Kpop in Spanish-speaking countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1345-1360, July.
    3. Marc Esteve-Del-Valle, 2022. "Homophily and Polarization in Twitter Political Networks: A Cross-Country Analysis," Media and Communication, Cogitatio Press, vol. 10(2), pages 81-92.

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