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Measurement of Regional Centrality using Network Analysis : Focused on the Competitive Relationship among Regions

네트워크 분석을 이용한 지역의 중심성 측정 : 지역간 경쟁관계를 중심으로

  • Received : 2018.01.09
  • Accepted : 2018.06.18
  • Published : 2018.08.31

Abstract

To measure regional centrality, network analysis method is implemented by using interregional flow, and eigenvector centrality or ${\beta}$ Bonacich centrality is mainly used. These studies make calculations in such method as the centrality of connecting region positively influences the centrality of a specific region in certain area. In social network analysis, however, although there is a complementary relationship among actors, stronger regions gain power and smaller regions become dependent as small centers are absorbed into higher level of the central region. This study conducted an actual proof analysis with 25-districts in Seoul by using O-D Matrix of Commiters(2015). Considering regional competitive relations, this study made analysis by using negative (-) value for ${\beta}$, which was compared with existing analysis results when calculating Bonacich ${\beta}$ centrality. As a result of the comparison, the stronger the centrality of the neighboring region is, the lower the centrality of the adjacent regions.

Keywords

Acknowledgement

Supported by : 공주대학교

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