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

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