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

Ho Young Yoon; Han Woo Park

doi:10.1007/s11135-012-9777-1

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

Ho Young Yoon, Han Woo Park

Division of Communication & Media

Research output: Contribution to journal › Article › peer-review

32 Scopus citations

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.

Original language	English
Pages (from-to)	409-423
Number of pages	15
Journal	Quality and Quantity
Volume	48
Issue number	1
DOIs	https://doi.org/10.1007/s11135-012-9777-1
State	Published - Jan 2014

Bibliographical 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.

Keywords

Exponential random graph model
Political support
Politician
Social network analysis
Social ritual
South Korea
Twitter

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10.1007/s11135-012-9777-1

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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.",

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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.",

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doi = "10.1007/s11135-012-9777-1",

language = "English",

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AU - Yoon, Ho Young

AU - Park, Han Woo

N1 - 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.

PY - 2014/1

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N2 - 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.

AB - 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.

KW - Exponential random graph model

KW - Political support

KW - Politician

KW - Social network analysis

KW - Social ritual

KW - South Korea

KW - Twitter

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SN - 0033-5177

VL - 48

SP - 409

EP - 423

JO - Quality and Quantity

JF - Quality and Quantity

IS - 1

ER -

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

Abstract

Bibliographical note

Keywords

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