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we can identify the critical locations in the city through robustness analysis, can we
guide the traveler to choose their way wisely to protect the critical locations?
Acknowledgement This research is supported by the Chinese NSFC Program under grant
No. 41271408, the Chinese Hi-tech Research and Development Program under grant No.
2012AA12A211, and State Key Laboratory of Resources and Environmental Information System
open foundation No. 088RA500KA.
References
Adar, E., & Kim, M. (2007). SoftGUESS: Visualization and exploration of code clones in context.
International Conference on Software Engineering: Proceedings of the 29th International
Conference on Software Engineering , 20 (26), 762-766. doi: 10.1109/ICSE.2007.76 .
Albert, R., Albert, I., & Nakarado, G. L. (2004). Structural vulnerability of the North American
power grid. Physical Review E, 69 (2), 025103. doi: 10.1103/PhysRevE.69.025103 .
Barthelemy, M. (2004). Betweenness centrality in large complex networks. The European Physical
Journal B-Condensed Matter and Complex Systems, 38 (2), 163-168. doi: 10.1140/epjb/e2004-
00111-4 .
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data
via the EM algorithm. Journal of the Royal Statistical Society: Series B: Methodological, 39 ,
1-38.
Demšar, U., Špatenková, O., & Virrantaus, K. (2008). Identifying critical locations in a spatial
network with graph theory. Transactions in GIS, 12 (1), 61-82. doi: 10.1111/j.1467-9671.2008.
01086.x .
Diestel, R. (2005). Graph theory . Heidelberg: Springer.
Fortunato, S. (2010). Community detection in graphs. Physics Reports, 486 (3-5), 75-174. doi: 10.
1016/j.physrep.2009.11.002 .
Gulbahce, N., & Lehmann, S. (2008). The art of community detection. Bioessays, 30 (10), 934-938.
doi: 10.1002/bies.20820 .
Holme, P., Kim, B. J., Yoon, C. N., & Han, S. K. (2002). Attack vulnerability of complex networks.
Physical Review E, 65 (5), 056109. doi: 10.1103/PhysRevE.65.056109 .
Jenelius, E., Petersen, T., & Mattsson, L. G. (2006). Importance and exposure in road network
vulnerability analysis. Transportation Research Part A: Policy and Practice, 40 (7), 537-560.
doi: 10.1016/j.tra.2005.11.003 .
Jiang, B. (2007). A topological pattern of urban street networks: Universality and peculiarity.
Physica A: Statistical Mechanics and Its Applications, 384 (2), 647-655.
Jiang, B., Zhao, S., & Yin, J. (2008). Self-organized natural roads for predicting traffic flow: A
sensitivity study. Journal of Statistical Mechanics: Theory and Experiment , P07008. doi: 10.
1088/1742-5468/2008/07/P07008 .
Moody, J., & White, D. R. (2003). Structural cohesion and embeddedness: A hierarchical concept
of social groups. American Sociological Review, 68 , 103-127. doi: 10.2307/3088904 .
Newman, M. E. J. (2010). Networks: An introduction . New York: Oxford University Press.
Porta, S., Crucitti, P., & Latora, V. (2006a). The network analysis of urban streets: A primal
approach. Environment and Planning B: Planning and Design, 33 (5), 705-725. doi: 10.1016/j.
physa.2005.12.063 .
Porta, S., Crucitti, P., & Latora, V. (2006b). The network analysis of urban streets: A dual approach.
Physica A: Statistical Mechanics and Its Applications, 369 (2), 853-866. doi: 10.1016/j.physa.
2005.12.063 .
Raghavan, U. N., Albert, R., & Kumara, S. (2007). Near linear time algorithm to detect community
structures in large-scale networks. Physical Review E, 76 (3), 036106. doi : 10.1103/PhysRevE.
76.036106 .
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