Abstract
The Triple Helix (TH) model and its indicators are typically used for exploring university-industry-government relations prevalent in knowledge-based economies. However, this exploratory study extends the TH model, together with webometric analysis, to the musical industry to explore the performance of social hubs from the perspective of entropy and the Web. The study investigates and compares two social hubs—Daegu and Edinburgh—from the perspective of musicals by using data obtained through two search engines (Naver.com and Bing.com). The results indicate that although Daegu is somewhat integrated into the local musical industry, it is not yet fully embedded in the international musical industry, even though it is international in scope. In terms of social events (i.e., musicals), unlike Daegu, Edinburgh is fully integrated into both the local and international musical industries and attracts diverse domains over the Internet.
Similar content being viewed by others
Notes
For more information on the DIMF visit: http://tour.daegu.go.kr/eng/event/regular_event/1190488_2507.asp.
For more information on the EIF visit: http://www.eif.co.uk/about-festival/about-festival.
The festival industry may have several types of social events, but we are interested only in musicals taking place in Daegu and Edinburgh (e.g., the DIMF and EIF). Thus, we refer to it as the musical industry (MI).
References
Abramson, N. (1963). Information theory and coding. New York: McGraw-Hill.
DiMaggio, P. J., & Powell, W. W. (1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), 147–160.
Festinger, L. (1954). A theory of social comparison processes. Human Relations, 7, 117–140.
Heo, J.-O. (2011). The analysis on the difference between participant’s motivation and selection attributes for convention venues. Journal of the Korean Data Analysis Society, 13(3B), 1615–1629. (written in Korean).
Jung, D.-I. (2011). The diffusion and institutionalization of commercialized regional festivals in Korea, 1991–2009. Korean Journal of Sociology, 45(3), 73–99. (written in English).
Leydesdorff, L. (2003). The mutual information of university-industry-government relations: An indicator of the Triple Helix dynamics. Scientometrics, 58(2), 445–467.
Leydesdorff, L. (2006). The knowledge-based economy: Modeled, measured, simulated. Boca Raton, FL: Universal-Publishers.
Leydesdorff, L., & Etzkowitz, H. (1998). The triple helix as a model for innovation studies. Science & Public Policy, 25(3), 195–203.
Lim, Y. S., & Park, H. W. (2011). How do congressional members appear on the web? Tracking the web visibility of South Korean politicians. Government Information Quarterly. doi:10.1016/j.giq.2011.02.003.
Park, H. W. (2010). Mapping the e-science landscape in South Korea using the webometrics method. Journal of Computer-Mediated Communication, 15, 211–229.
Park, H. W. (2011). How do social scientists use link data from search engines to understand internet-based political and electoral communication? Quality & Quantity. doi:10.1007/s11135-010-9421-x.
Park, H. W., & Leydesdorff, L. (2010). Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives. Research Policy, 39(5), 640–649.
Sams, S., Lim, Y. S., & Park, H. W. (forthcoming). E-research applications for tracking online socio-political capital in the Asia-Pacific region. Asian Journal of Communication.
Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27, 379–423. 623–656.
Shannon, C. E., & Weaver, W. (1949). The mathematical theory of communication. Urbana: University of Illinois Press.
Theil, H. (1972). Statistical decomposition analysis. Amsterdam: North-Holland Publishing Company.
Thelwall, M. (2009). Introduction to webometrics: Quantitative web research for the social sciences. San Rafael, CA: Morgan & Claypool Publishers.
Turner, J. C., & Oakes, P. J. (1989). Self-categorization theory and social influence. In P. B. Paulus (Ed.), Psychology of group influence (pp. 233–275). Hillsdale, NJ: Erlbaum.
Zhang, M., & Li, X. (2008). The research on creative city based on the triple helix mode. In Proceedings of the 2008 international conference on information management, innovation management and industrial engineering (Vol. 03, pp. 430–433). Washington, DC: IEEE Computer Society.
Zuccala, A., & Thelwall, M. (2006). LexiURL web link analysis for digital libraries. In Poster abstract in Proceedings of the joint conference on digital libraries. Chapel Hill: North Carolina.
Acknowledgment
This work was supported by the 2011 Yeungnam University Research Grant.
Author information
Authors and Affiliations
Corresponding author
Additional information
Co-first author—Seong Eun Cho.
Rights and permissions
About this article
Cite this article
Khan, G.F., Cho, S.E. & Park, H.W. A comparison of the Daegu and Edinburgh musical industries: a triple helix approach. Scientometrics 90, 85–99 (2012). https://doi.org/10.1007/s11192-011-0504-9
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11192-011-0504-9