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Online Discourse and Network Structures of Yuseong-gu Public Libraries: Big-Data Text Mining and Topic Modeling for Evidence-Based Policy Design

  • Jihei Kang (Department of Library and Information Science, Dongduk University) ;
  • Inho Chang (Department of Library and Information Science, Daejin University) ;
  • Younghee Noh (Department of Library and Information Science, Konkuk University ) ;
  • Ji-Yoon Ro (Department of Library and Information Science, Gwangju University) ;
  • Youngji Shin (Department of Library and Information Science, Dong-Eui University)
  • Received : 2026.02.20
  • Accepted : 2026.03.05
  • Published : 2026.06.30

Abstract

This study investigates how digital discourse surrounding Yuseong-gu public libraries is structured and how it informs evidence-based policy architecture. Online text data were collected from major Korean portals (Naver and Daum) between July 2022 and June 2025 using "Yuseong-gu public libraries" as the core search query. The corpus was analyzed using text mining, keyword network analysis, and latent Dirichlet allocation (LDA) topic modeling. Word frequency and TF-IDF results indicate that place-anchored identifiers (e.g., Yuseong-gu, Daejeon) and culture-related vocabulary constitute the discourse backbone, while managerial and operational terms such as integration, support, and homepage signal demand for coordinated governance and enhanced digital accessibility. N-gram analysis further emphasizes the demand for an integrated information and participation portal, most clearly reflected in the recurrent sequence "Yuseong-gu-integrated-library-homepage." Network analysis reveals a high-density structure with a short average path length, confirming strong thematic interconnectedness; the node "library" functions as the primary hub and is directly linked to "culture," indicating the library's discursive positioning as a cultural platform. The findings support strategic policy directions, including a hub-satellite spatial system embedded across neighborhood life zones, cross-sectional programming integrating education, culture, and community participation, a mobile-first integrated digital portal, and institutionalized partnerships with schools and local cultural institutions.

Keywords

References

  1. Abadie, A., Diamond, A., & Hainmueller, J. (2010). Synthetic control methods for comparative case studies: Estimating the effect of California's tobacco control program. Journal of the American Statistical Association, 105(490), 493-505. https://doi.org/10.1198/jasa.2009.ap08746
  2. Ansell, C., & Gash, A. (2008). Collaborative governance in theory and practice. Journal of Public Administration Research and Theory, 18(4), 543-571. https://doi.org/10.1093/jopart/mum032
  3. Bennett, A., & Checkel, J. T. (2015). Process tracing: From metaphor to analytic tool. Cambridge, UK: Cambridge University Press. https://doi.org/10.1017/CBO9781139858472
  4. Bitner, M. J. (1992). Servicescapes: The impact of physical surroundings on customers and employees. Journal of Marketing, 56(2), 57-71. https://doi.org/10.1177/002224299205600205
  5. Borgatti, S. P., & Everett, M. G. (1997). Network analysis of 2-mode data. Social Networks, 19(3), 243-269. https://doi.org/10.1016/S0378-8733(96)00301-2
  6. Burt, R. S. (1992). Structural holes: The social structure of competition. Cambridge, MA: Harvard University Press.
  7. Coleman, J. S. (1988). Social capital in the creation of human capital. American Journal of Sociology, 94, S95-S120. https://doi.org/10.1086/228943
  8. Emerson, K., Nabatchi, T., & Balogh, S. (2012). An integrative framework for collaborative governance. Journal of Public Administration Research and Theory, 22(1), 1-29. https://doi.org/10.1093/jopart/mur011
  9. Freeman, L. C. (1979). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215-239. https://doi.org/10.1016/0378-8733(78)90021-7
  10. Granovetter, M. S. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360-1380. https://doi.org/10.1086/225469
  11. Krippendorff, K. (2013). Content analysis: An introduction to its methodology (3rd ed.). Thousand Oaks, CA: SAGE.
  12. Lee, S., Kim, H., Baeck, S., & Yoon, S. (2022). A Study on the Research Trends of Big Data at Public Libraries: with a Focus on the Journal "Public Library Quarterly". International Journal of Knowledge Content Development & Technology, 12(Special Issue), 69-83. doi:10.5865/IJKCT.2022.12.S.069
  13. Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Newbury Park, CA: SAGE.
  14. Miles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook (3rd ed.). Thousand Oaks, CA: SAGE.
  15. Noh, Y., & Kim, D. (2022). A Study on Social Perceptions of Public Libraries Utilizing the sentiment analysis. International Journal of Knowledge Content Development & Technology, 12(4), 41-65. doi:10.5865/IJKCT.2022.12.4.041
  16. Noh, Y., & Lee, J. (2024). A cultural space connecting books and people: Records of independent bookstores—Gangwon & Chungcheong [in Korean]. Chungju, Korea: Institute for Knowledge Contents.
  17. Noh, Y., & Lee, J. (2024). Independent bookstores as cultural infrastructure in regions at risk of population decline. Korean Comparative Government Review, 28(4), 243-261. https://doi.org/10.18397/kcgr.2024.28.4.243
  18. Noh, Y., & Lee, J. (2024). Revitalizing bookstores as disappearing local cultural resources. Korea and the World, 6(4), 131-166. https://doi.org/10.22743/kwr.2024.6.4.131
  19. Noh, Y., & Lee, J. (2025). Bookstores' roles in regional regeneration and creative-class formation in depopulating areas. Korea and International Society, 9(1), 681-701. https://doi.org/10.22718/kga.2025.9.1.024
  20. Noh, Y., Roh, J.-w., & Kim, H.-w. (2025). The Multidimensional Evolution of Literacy and Its Social Role: An Empirical Study Through Network Analysis. International Journal of Knowledge Content Development & Technology, 15(2), 97-121. doi:10.5865/IJKCT.2025.15.2.097
  21. Oldenburg, R. (1999). The great good place (2nd ed.). New York, NY: Marlowe & Company.
  22. Opsahl, T., Agneessens, F., & Skvoretz, J. (2010). Node centrality in weighted networks: Generalizing degree and shortest paths. Social Networks, 32(3), 245-251. https://doi.org/10.1016/j.socnet.2010.03.006
  23. Pine, B. J., II, & Gilmore, J. H. (1999). The experience economy. Boston, MA: Harvard Business School Press.
  24. Provan, K. G., & Kenis, P. (2008). Modes of network governance: Structure, management, and effectiveness. Journal of Public Administration Research and Theory, 18(2), 229-252. https://doi.org/10.1093/jopart/mum015
  25. Provan, K. G., & Milward, H. B. (1995). A preliminary theory of interorganizational network effectiveness: A comparative study of four community mental health systems. Administrative Science Quarterly, 40(1), 1-33. https://doi.org/10.2307/2393698
  26. Provan, K. G., & Milward, H. B. (2001). Do networks really work? A framework for evaluating public-sector organizational networks. Public Administration Review, 61(4), 414-423. https://doi.org/10.1111/0033-3352.00045
  27. Putnam, R. D. (2000). Bowling alone: The collapse and revival of American community. New York, NY: Simon & Schuster.
  28. Ragin, C. C. (2008). Redesigning social inquiry: Fuzzy sets and beyond. Chicago, IL: University of Chicago Press. https://doi.org/10.7208/chicago/9780226702797.001.0001
  29. Relph, E. (1976). Place and placelessness. London, UK: Pion.
  30. Schneider, C. Q., & Wagemann, C. (2012). Set-theoretic methods for the social sciences: A guide to qualitative comparative analysis. Cambridge, UK: Cambridge University Press. https://doi.org/10.1017/CBO9781139004244
  31. Tuan, Y.-F. (1977). Space and place: The perspective of experience. Minneapolis, MN: University of Minnesota Press.