In [2]:

    

import networkx as nx


    

In [3]:

    

import numpy as np


    

In [4]:

    

import matplotlib.pyplot as plt


    

In [6]:

    

NUM_CASCADES = 100


    

In [7]:

    

ffr = open('synthetic/synth-cascades-zurich-fig2/synth-cascades-zurich-fig2.txt', 'r')


    

In [8]:

    

G = nx.DiGraph()


    

In [9]:

    

added_nodes = set()


    

In [10]:

    

for line in ffr:
    u1, u2, weight = line[:-1].split(',')
    u1, u2 = map(int, [u1, u2])
    weight = float(weight)
    for u in [u1, u2]:
        if u not in added_nodes:
            added_nodes.add(u)
            G.add_node(u)
    G.add_edge(u1, u2, weight=weight)


    

In [16]:

    

pos = nx.spring_layout(G)
edge_labels = dict([((u, v,), d['weight']) for u, v, d in G.edges(data=True)])
nx.draw_networkx_edge_labels(G,pos,edge_labels=edge_labels)
nx.draw(G, pos)
plt.show()


    

In [15]:

    

nx.write_gexf(G, "synthetic/synth-cascades-zurich-fig2/synth-cascades-zurich-fig2.gexf")


    

In [19]:

    

np.random.exponential(1/0.01)


    

    
Out[19]:





49.21152511976102

In [ ]: