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A Study on the Architectural Programming Method of Community Service Center using Socio-Spatial Network Analysis
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 Title & Authors
A Study on the Architectural Programming Method of Community Service Center using Socio-Spatial Network Analysis
Shin, Doosik; Jeon, Young Hoon;
The purpose of this study is to derive the architectural programming method for the community service center using Socio-Spatial Network Analysis. This study focused on the reflection of users' opinions to the architectural program of public buildings. This study assumed that the architectural program is equal to the network consisting of people's desires for spaces. And it assumed that the architectural programming is a process to pro-graphein(beforehand-write) the spatial structure as a network of users' opinions. Thus we used the network analysis method on local residents' opinions for the space in the community service center. As a result, we identified the qualitative characteristics of spaces and spatial areas through the centrality analysis, the structural equivalence analysis, the Girvan-Newman algorithm analysis. Through the centrality analysis with edge betweenness centrality analysis, we were able to identify the properties of spaces and the positions of main communal space. Through the structural equivalence analysis and the Girvan-Newman algorithm analysis, we were able to derive the properties of spatial areas and spatial communities. In the end, we were able to grasp the architectural program as socio-spatial network of community service center.
socio-spatial network analysis;architectural program;public architecture;user participation;
 Cited by
Kabo, F., Hwang, Y., Levenstein, M., & Owen-Smith, J. (2013). Shared paths to the Lab: a social spatial network analysis of collaboration, Environment and Behavior B, 47(1), 57-84.

Kim, S. (2012). The relationship between talkshop and workshop in the production process of public buildings, Ph.D. Dissertation, Seoul National University.

Kim, Y. (2011). Social Network Analysis, 3rd ed., Pakyoungsa.

Lee, S. (2012). Network Analysis methodology, Nonhyung.

Sailer, K., Budgen A., Lonsdale, N., Turner, A., & Penn, A. (2009). How changing spatial configurations affect organisational behaviours, 7th space syntax symposium, 096:1-14.

Sailer, K., & McCulloh, I. (2012). Social networks and spatial configuration, Social Networks, 34, 47-58. crossref(new window)

Sailer, K., Pachilova, R., Kostopoulou, E., Pradinuk, R., MacKinnon, D., & Hoofwijk, T. (2013). How strongly programmed is a strong programme building?, 9th space syntax symposium, 015

Shim, W., Kim, H., Lee, K., Lee, S., & Lee, J. (2008). Architectural Design: Theories and Practice, Moonoondang, 81.

Son, D. (2002). Social Network Analysis, Kyoungmunsa.

Wineman, J., Hwang, Y., Kabo, F., Owen-Smith, J., & Davis, G. (2013), How space augments the social structures of innovation, ARCC 2013, 715-720.