Community Extraction Method of Road Networks Based on Betweenness Contribution
Author:
Affiliation:
1. Tokyo University of Technology
2. Kanagawa University
3. Center for Advanced Intelligence Project, RIKEN
4. University of Shizuoka
5. Wakayama University
Publisher
Japanese Society for Artificial Intelligence
Subject
Artificial Intelligence,Software
Link
https://www.jstage.jst.go.jp/article/tjsai/35/1/35_F-wd12/_pdf
Reference15 articles.
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3. [Dekker 05] Dekker,A.: Conceptual distance in social network analysis, Journal of Social Structure, Vol.6, (2005)
4. [Freeman 79] Freeman,L.: Centrality in social networks: Conceptual clarification, Social Networks, Vol.1, No.3, pp. 215--239 (1979)
5. [Hagen 92] Hagen,L. and Kahng,A.B.: New spectral methods for ratio cut partitioning and clustering, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol.11, No.9, pp. 1074--1085 (1992)
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