@article{7a518cdff0414b94bc337e67122fb3e3,
title = "Strategies affecting Twitter-based networking pattern of South Korean politicians: Social network analysis and exponential random graph model",
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.",
keywords = "Exponential random graph model, Political support, Politician, Social network analysis, Social ritual, South Korea, Twitter",
author = "Yoon, {Ho Young} and Park, {Han Woo}",
note = "Funding Information: Acknowledgments This research was supported by WCU(World Class University) program through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology (No. 515-82-06574). This research was conducted when the first author worked as a researcher of WCU Webomet-rics Institute and Cyber Emotions Research Institute at YeungNam University, Korea. The authors thank to Sungchul Choi, Myunggoon Choi, Jiyoung Kim, Jiyoung Park and Steve Sams for their assistance. The earlier version was presented to Triple Helix IX International Conference, July 11–14, 2011, Stanford, California, USA.",
year = "2014",
month = jan,
doi = "10.1007/s11135-012-9777-1",
language = "English",
volume = "48",
pages = "409--423",
journal = "Quality and Quantity",
issn = "0033-5177",
publisher = "Springer Netherlands",
number = "1",
}