집합점의 신뢰성을 이용한 네트워크 자기상관 모델의 연구An Application of Network Autocorrelation Model Utilizing Nodal Reliability
- Other Titles
- An Application of Network Autocorrelation Model Utilizing Nodal Reliability
- Authors
- 김영호
- Issue Date
- 2008
- Publisher
- 한국경제지리학회
- Keywords
- 네트워크 자기상관; disjoint product method; 신뢰성; Getis-Ord G 수치; GIS; network autocorrelation; disjoint product method; reliability; Getis-Ord G
statistics; GIS
- Citation
- 한국경제지리학회지, v.11, no.3, pp.492 - 507
- Indexed
- KCI
- Journal Title
- 한국경제지리학회지
- Volume
- 11
- Number
- 3
- Start Page
- 492
- End Page
- 507
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/124625
- DOI
- 10.23841/egsk.2008.11.3.492
- ISSN
- 1226-8968
- Abstract
- Many classical network analysis methods approach networks in aspatial
perspectives. Measuring network reliability and finding critical nodes in particular, the analyses consider only network connection topology ignoring spatial components in the network such as node attributes and edge distances. Using local network autocorrelation measure, this study handles the problem. By quantifying similarity or clustering of individual objects’ attributes in space, local autocorrelation measures can indicate significance of individual nodes in a network. As an application, this study analyzed internet backbone networks in the United States using both classical disjoint product method and Getis-Ord local G statistics. In the process, two variables (population size and reliability) were applied as node attributes. The results showed that local network autocorrelation measures could provide local clusters of critical nodes enabling more empirical and realistic analysis particularly when research interests were local network ranges or impacts.
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Collections - College of Education > Department of Geography Education > 1. Journal Articles
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