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Spatio-temporal Spread of Disruptions in Interconnected Supply Networks
Matthias Winter
, Johannes Scholz
LOGISTIKUM
Research Center Steyr
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Keyphrases
Asia
50%
Australia
50%
Blockage
50%
Canal Blocking
50%
China
50%
Company-specific Factors
50%
Congestion
50%
Coronavirus Disease (COVID)
50%
COVID-19
50%
COVID-19 Pandemic
50%
Disruption Effect
50%
Distribution Center
50%
Europe
50%
Global Shipping
50%
Hinterland Transport
50%
International Retailers
50%
Network Connectivity
50%
Network Effects
50%
Node Strength
50%
Port-site Closure
50%
Shipping Industry
50%
Spatio-temporal Autocorrelation
50%
Spatiotemporal Pattern
50%
Spatiotemporal Propagation
50%
Spatiotemporal Spread
100%
Speed Variation
50%
Suez Canal
100%
Supply Network
100%
Travel Speed
50%
Typhoon
50%
Weighted Graph
50%
Earth and Planetary Sciences
Asia
33%
Australia
33%
Autocorrelation
33%
China
33%
Europe
33%
Port
100%
Spatiotemporal Patterns
33%
Computer Science
COVID 19 Epidemic
50%
COVID-19
100%
Network Connectivity
50%
weighted graph
50%
Economics, Econometrics and Finance
Industry
100%
Network Economics
100%
Social Sciences
Autocorrelation
50%
Network Economics
50%