def question1():
"""
create 3 graphs - subject each to the same random attack order
plot the resulting largest cc for each
"""
network_graph = app2_provided.load_graph(app2_provided.NETWORK_URL)
attack_order = random_order(network_graph)
network_resil = bfs_visited.compute_resilience(network_graph, attack_order)
er_graph = app2_create_graphs.undirected_er(1239, 0.002)
attack_order = random_order(er_graph)
while count_edges(er_graph) < 2900 or count_edges(er_graph) > 3190:
er_graph = app2_create_graphs.undirected_er(1239, 0.002)
er_resil = bfs_visited.compute_resilience(er_graph, attack_order)
upa_graph = app2_create_graphs.upa(1239, 3)
attack_order = random_order(upa_graph)
upa_resil = bfs_visited.compute_resilience(upa_graph, attack_order)
pyplot.plot(range(1240), network_resil, color='red', linestyle='-',
marker=None, label='Network Graph')
pyplot.plot(range(1240), er_resil, color='blue', linestyle='-',
marker=None, label='ER Graph, p=0.002')
pyplot.plot(range(1240), upa_resil, color='green', linestyle='-',
marker=None, label='UPA Graph, m=3')
pyplot.title('Question 1\nComparison of Random Attack Graph Degradation')
pyplot.xlabel('Number of Nodes Removed')
pyplot.ylabel('Largest Connected Component')
pyplot.legend(loc='upper right')
pyplot.grid(True)
pyplot.show()
return network_resil, er_resil, upa_resil
def test2():
print(bfs_visited.compute_resilience(test_graphs_mod2.GRAPH0, [1,2]))
