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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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