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

  • Ho Yoon


  • Han Park


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    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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    Article provided by Springer in its journal Quality & Quantity.

    Volume (Year): 48 (2014)
    Issue (Month): 1 (January)
    Pages: 409-423

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    Handle: RePEc:spr:qualqt:v:48:y:2014:i:1:p:409-423
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    1. 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.
    2. 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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