Related references
Note: Only part of the references are listed.Network overload due to massive attacks
Yosef Kornbluth et al.
PHYSICAL REVIEW E (2018)
Looplessness in networks is linked to trophic coherence
Samuel Johnson et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2017)
Geometric explanation of the rich-club phenomenon in complex networks
Mate Csigi et al.
SCIENTIFIC REPORTS (2017)
Vulnerability Analysis of Railway Networks in Case of Multi-Link Blockage
Mostafa Bababeik et al.
19TH EURO WORKING GROUP ON TRANSPORTATION MEETING (EWGT2016) (2017)
Drought rewires the cores of food webs
Xueke Lu et al.
NATURE CLIMATE CHANGE (2016)
Two betweenness centrality measures based on Randomized Shortest Paths
Ilkka Kivimaki et al.
SCIENTIFIC REPORTS (2016)
Improvement of railway performance: a study of Swedish railway infrastructure
Yamur K. Al-Douri et al.
JOURNAL OF MODERN TRANSPORTATION (2016)
Measuring the Performance of Transportation Infrastructure Systems in Disasters: A Comprehensive Review
Reza Faturechi et al.
JOURNAL OF INFRASTRUCTURE SYSTEMS (2015)
A new measure of resilience: An application to the London Underground
Minette D'Lima et al.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE (2015)
Train design and routing optimization for evaluating criticality of freight railroad infrastructures
Abdullah A. Khaled et al.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2015)
A quantitative approach for assessing the critical nodal and linear elements of a railway infrastructure
Zili Zhang et al.
INTERNATIONAL JOURNAL OF CRITICAL INFRASTRUCTURE PROTECTION (2015)
Impact of Road Conditions and Disruption Uncertainties on Network Vulnerability
Mohammad Saied Dehghani et al.
JOURNAL OF INFRASTRUCTURE SYSTEMS (2014)
Trophic coherence determines food-web stability
Samuel Johnson et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2014)
Vulnerability assessment and re-routing of freight trains under disruptions: A coal supply chain network application
Ridvan Gedik et al.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW (2014)
Robustness of social and web graphs to node removal
Paolo Boldi et al.
SOCIAL NETWORK ANALYSIS AND MINING (2013)
Complex Network Topology of Transportation Systems
Jingyi Lin et al.
TRANSPORT REVIEWS (2013)
On the rich-club effect in dense and weighted networks
V. Zlatic et al.
EUROPEAN PHYSICAL JOURNAL B (2009)
DEGREE AND WEIGHTED PROPERTIES OF THE DIRECTED CHINA RAILWAY NETWORK
Long Guo et al.
INTERNATIONAL JOURNAL OF MODERN PHYSICS C (2008)
Rich-club vs rich-multipolarization phenomena in weighted networks
M. Angeles Serrano
PHYSICAL REVIEW E (2008)
The rich-club phenomenon in the Internet topology
S Zhou et al.
IEEE COMMUNICATIONS LETTERS (2004)
Measuring improvements in the disaster resilience of communities
SE Chang et al.
EARTHQUAKE SPECTRA (2004)
A framework to quantitatively assess and enhance the seismic resilience of communities
M Bruneau et al.
EARTHQUAKE SPECTRA (2003)
Share Paper
