Cascading

class graph_tiger.cascading.Cascading(graph, runs=10, steps=100, l=0.8, r=0.2, **kwargs)

Bases: graph_tiger.simulations.Simulation

This class simulates cascading failures on a network :cite`crucitti2004model`.

Parameters

  • graph – an undirected NetworkX graph

  • runs – an integer number of times to run the simulation

  • steps – an integer number of steps to run a single simulation

  • l – a float representing the maximum initial load for each node

  • r – a float representing the amount of redundancy in the network

  • **kwargs –

    see parent class Simulation for additional options

reset_simulation()

Resets the simulation between each run

run_single_sim()

Run the attack simulation

track_simulation(step)

Keeps track of important simulation information at each step of the simulation

Parameters

step – current simulation iteration

graph_tiger.cascading.main()