Fig 1.
Transition diagram for a two-state system with disruption d and recovery r.
The diagram shows the state transitions between normal (x0) and degraded (x1) states under the disruption transformation d and recovery transformation r.
Fig 2.
A canonical shock-propagation geometry with a unique collapse state x*.
The diagram illustrates a three-layer propagation network where disruptions propagate downward through dependency hierarchies until converging on a shared collapse configuration.
Table 1.
Basis-pruning algorithm for minimal intervention set.
Table 2.
Shock-propagation simulation algorithm.
Fig 3.
Manufacturing stage disruption propagation example.
Table 3.
Generator effects on manufacturing stages.
Fig 4.
State transitions in manufacturing supply chain under minimal collapse set.
Table 4.
Generator effects on agricultural regions.
Fig 5.
State transitions in agricultural supply chain under sequential shocks.
Table 5.
Generator effects on e-commerce hubs.
Fig 6.
State transitions in e-commerce logistics supply chain.
Table 6.
Shock propagation simulation algorithm.
Fig 7.
Flow diagram for shock propagation simulation (Table 6).
Table 7.
Basis-pruning procedure for minimal generating set.
Fig 8.
Flow diagram for basis-pruning (Table 7).