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A Network Analysis of the Library Bill Cosponsorship in the Legislative Process of the 19th National Assembly of Korea

도서관법안에 관한 19대 국회 입법과정의 공동발의 네트워크 분석

  • 김혜영 (연세대학교 문헌정보학과) ;
  • 박지홍 (연세대학교 문헌정보학과)
  • Received : 2020.03.11
  • Accepted : 2020.06.22
  • Published : 2020.06.30

Abstract

The legislative cosponsorship network shows the legislative process of the National Assembly through the relationship between the members of the National Assembly formed by cosponsorship. This study focused on the library bill proposed during the 19th National Assembly term, and conducted the cosponsorship network analysis, the centrality analysis of actors of the National Assembly, and a subgroup analysis of keyword-centric networks. As the result of the study, the library bill's cosponsorship network was segmented according to political parties, and lawmakers who played an intermediary role in close proximity to other political party members had an important influence on the network. When restructured into a keyword-oriented network, the network structure segmented into political parties improved as members of different parties shared the same keywords and formed subgroups. Based on the results, it was suggested that a strategy for spreading and sharing policy issues based on core keywords rather than library legislation, centered on lawmakers who play a mediating role between parties, is needed to activate library legislation.

공동발의 네트워크는 법안 공동발의로 형성되는 국회의원 간의 관계를 통해 국회 입법과정을 보여준다. 본 연구는 제19대 국회 임기기간 중 발의된 도서관법안을 중심으로 공동발의 네트워크 분석과 국회의원 액터의 중심성 분석 및 키워드 중심 네트워크의 서브그룹 분석을 실시하였다. 연구결과, 도서관법안 공동발의 네트워크는 정당에 따라 분절된 모습을 보였으며, 다른 소속 정당 의원과 근접한 거리에 위치하면서 매개적 역할을 수행하는 의원들이 네트워크에서 중요한 영향력을 미치고 있었다. 키워드중심 네트워크로 재구조화할 경우, 다른 정당 소속 의원들이 동일한 키워드를 공유하면서 서브그룹을 형성함에 따라 정당으로 분절된 네트워크 구조가 개선되는 모습을 보였다. 연구결과를 토대로, 도서관계 입법활동 활성화를 위해서는 정당 간 매개적 역할을 하는 의원들을 중심으로 도서관 법안이 아닌 주요 키워드를 중심으로 정책이슈를 확산하고 공유하는 전략이 필요하다는 점을 제시하였다.

Keywords

References

  1. Ka, Sangjoon (2014). Has the Korean National Assembly been polarized?. The Journal of Parliamentary Research, 9(2), 247-272.
  2. Kwahk, Keeyoung (2014). Social network analysis. Seoul: Cheongnam.
  3. National Assembly Secretariat (2016). The 19th National Assembly circular report.
  4. Kim, Kyong Sik, & Jang, Mi Ran (2014). Social network analysis on the joint submission of sports bill in the 17, 18th National Assembly of Korea and bill adoption. Korean Society for Sociology of Sport, 27(2), 1-26. https://doi.org/10.22173/jksss.2014.27.2.1
  5. Kim, Lanu (2009). The contingency of influence network effect on political voting decision. Korean Journal of Sociology Conference, 2009(12), 1355-1378.
  6. Kim, Seok Woo & Jeon, Yong Joo (2012). A study on the determinants of political ideology of the Korean 19th National Assembly members. Journal of Korean Politics, 21(3), 23-44.
  7. Kim, Ha Young, & Kang, Baddle (2018). Network analysis on joint initiative of legislative process for multicultural families support in the nineteenth national assembly. Multicultural Education Studies, 11(3), 99-120. https://doi.org/10.14328/MES.2018.9.30.99
  8. Ryu, Seouk Chun, & Lee, Seoung-su (2016). A legislative cosponsorship network analysis of the 19th National Assembly members. A material on lawmakers' policy debates on ideological reality viewed through the actual state of the bill, May 2, 2016, The Press Center's Chrysanthemum Chamber, Host: Citizen United For Better Society.
  9. Park, Ja-Hyun, & Song, Min (2013). A Study on the Research Trends in Library & Information Science in Korea using Topic Modeling. Journal of the Korean society for information management, 30(1), 7-32. https://doi.org/10.3743/KOSIM.2013.30.1.007
  10. Park, Chanmoo, & Jang, Woncheol (2017). Cosponsorship networks in the 17th National Assembly of Republic of Korea. The Korean Journal of Applied Statistics, 30(3), 403-415. https://doi.org/10.5351/KJAS.2017.30.3.403
  11. Seo, Inseok, Yoon, Byung Sup, & Jo, Ilhyung (2014). Structure and persistiveness of cosponsorship network in legislative process: Application of structural variable and ERGM on the sexual violence prevention act. Korea Public Administration Journal, 23(1), 65-90. https://doi.org/10.22897/kipajn.2014.23.1.003
  12. Seo, Il-Jung (2018). The impact of network structure on legislative performance in cosponsorship networks. The Korea Contents Society, 18(9), 433-440. https://doi.org/10.5392/JKCA.2018.18.09.433
  13. Youm, Yoo Sik (2007). A network analysis of the legislative bill adoption in the 16th congress in Korea: the effect of brokerage position in the cosponsorship network at the standing committee of public health and social welfare on the bill adoption. Korean Journal of Law & Society 32, 159-184.
  14. Lee, Byung Kyu, & Youm, Yoo Sik (2009). Identifying the structure of co-signing networks among the 17th Korean congressmen in the standing committee of health and welfare: By using p-net modeling. Journal of Contemporary Society and Culture, 29, 33-60.
  15. Lee, Ji-yeon, Jo, Hyun-joo, & Yoon, Ji Won (2014). Network analysis of legislators and committees based on bills in the 18th and 19th National Assembly, Korea. Journal of Digital Convergence, 12(2), 11-25. https://doi.org/10.14400/JDC.2014.12.2.11
  16. Lee, Han Soo (2016). Explaining Korean representatives’ sponsorship behavior. Dispute Resolution Studies Review, 14(1), 161-188. https://doi.org/10.16958/drsr.2016.14.1.161
  17. Chang, Dukjin (2011). Policy Networks in the 17th National Assembly of Korea: An analysis of co-sponsorship and friendship ties. Korean Party Studies Review, 10(2), 157-187.
  18. Jang, Im Sook (2017). The current situation of migration policy and characteristics of proposer. Contemporary Society and Multiculture, 7(1), 48-76.
  19. Jeong, Hoi Ok, Yoon, Jong Bin, & Park, Young Hwan (2016). The effect of legislators Individuallevel factors on legislative effectiveness. The Journal of Political Science and Communication, 19(1), 243-274. https://doi.org/10.15617/psc.2016.02.19.1.243
  20. Choi, Hyung Wook, Choi, Ye-jin, & Nam, So-Yeon (2018). Time series analysis of intellectual structure and research trend changes in the field of library and information science: 2003 to 2017. Journal of the Korean society for information management, 35(2), 89-114. https://doi.org/10.3743/KOSIM.2018.35.2.089
  21. Han, Seunghee (2019). An analysis of news trends for libraries in Korea: Based on 1990-2018 News Big Data. Journal of the Korean Society for Information Management, 36(3), 7-36. https://doi.org/10.3743/KOSIM.2019.36.3.007
  22. Aleman, E. (2015). Coauthorship ties in the colombian congress, 2002-2006. Colombia International, 83(83), 23-42. https://doi.org/10.7440/colombiaint83.2015.02
  23. Borgatti, S. P. (2002). Netdraw network visualization. Analytic Technologies: Harvard, MA.
  24. Borgatti, S. P., Everett, M. G., & Johnson, J. C. (2013). Analyzing social networks. CA: Sage Publications. https://doi.org/10.1080/10705422.2016.1209400
  25. Fowler, J. H. (2006a). Connecting the Congress: A study of cosponsorship network. Political Analysis, 456-487. https://doi.org/10.1093/pan/mpl002
  26. Fowler, J. H. (2006b). Legislative cosponsorship networks in the US house and senate. Social Networks, 28(4), 454-465. https://doi.org/10.1016/j.socnet.2005.11.003
  27. Heaney, M. T., & McClurg, S. D. (2009). Social networks and American politics: Introduction to the special issue. American Politics Research, 37(5), 727-741. https://doi.org/10.1177/1532673X09337771
  28. Tam Cho, W. K., & Fowler, J. H. (2010). Legislative success in a small world: Social network analysis and the dynamics of congressional legislation. The Journal of Politics, 72(1), 124-135. https://doi.org/10.1017/S002238160999051X
  29. Woon, J. (2008). Bill sponsorship in congress: The moderating effect of agenda positions on legislative proposals. The Journal of Politics, 70(1), 201-216. https://doi.org/10.1017/S0022381607080140
  30. Yang, S., Keller, F. B., & Zheng, L. (2016). Social network analysis: Methods and examples. CA: Sage Publications.