already = []
global_eff = 0
all_nodes_number = 0
nr_con = 0
contacts_for_node = []
num_con = 0
new_nr_ac = []
nr_ac = []
efficiency = []
bet_nodes2 = []
bet_nodes3 = []
average_num = []
bet_nodes = []
t = tn.readFile("example_network.tedges",
sep=" ",
fformat="TEDGE",
timestampformat="%s",
maxlines=sys.maxsize)
t.setMaxTimeDiff(20)
nazwa = "example_network"
def time_table(time_tabel_val, time_table_nr, node_contacts):
delete_nodes_list(time_table_nr)
delete_nodes_list(time_table_val)
to = node_contacts[0][2]
n = 0
time_table_val.append(to)
time_table_nr.append(0)
for k in range(
0,
visual_style["layout"] = g2.layout_auto()
visual_style["vertex_label"] = g2.vs["name"]
visual_style["edge_label"] = g2.es["weight"]
igraph.plot(g2, **visual_style)
g2n = t.iGraphSecondOrderNull()
visual_style["edge_label"] = str(g2n.es["weight"])
visual_style["layout"] = g2n.layout_auto()
visual_style["vertex_label"] = g2n.vs["name"]
visual_style["edge_label"] = g2n.es["weight"]
igraph.plot(g2n, **visual_style)
# Read temporal network from sample data file
filename = pkg_resources.resource_filename('pyTempNet', 'example.tedges')
t = tn.readFile(filename, sep=' ')
print("Temporal network has", t.vcount(), "nodes")
print("Temporal network has", t.ecount(), "time-stamped edges")
# If the following explicit call is omitted, the two-path extraction will be
# executed whenever the time-respecting paths are needed the first time
print("Extracting two-paths ...")
t.extractTwoPaths()
print("Temporal network has", t.TwoPathCount(), "two-paths")
g1 = t.igraphFirstOrder()
print("First-order aggregate network has", len(g1.vs), "nodes and", len(g1.es), "edges")
g2 = t.igraphSecondOrder().components(mode="STRONG").giant()
print("Second-order aggregate network has", len(g2.vs), "nodes and", len(g2.es), "edges")
visual_style["layout"] = g2.layout_auto()
visual_style["vertex_label"] = g2.vs["name"]
visual_style["edge_label"] = g2.es["weight"]
igraph.plot(g2, **visual_style)
g2n = t.igraphSecondOrderNull()
visual_style["edge_label"] = str(g2n.es["weight"])
visual_style["layout"] = g2n.layout_auto()
visual_style["vertex_label"] = g2n.vs["name"]
visual_style["edge_label"] = g2n.es["weight"]
igraph.plot(g2n, **visual_style)
# Read temporal network from sample data file
filename = pkg_resources.resource_filename('pyTempNet', 'example.tedges')
t = tn.readFile(filename, sep=' ')
print("Temporal network has", t.vcount(), "nodes")
print("Temporal network has", t.ecount(), "time-stamped edges")
# If the following explicit call is omitted, the two-path extraction will be
# executed whenever the time-respecting paths are needed the first time
print("Extracting two-paths ...")
t.extractTwoPaths()
print("Temporal network has", t.TwoPathCount(), "two-paths")
g1 = t.igraphFirstOrder()
print("First-order aggregate network has", len(g1.vs), "nodes and", len(g1.es), "edges")
g2 = t.igraphSecondOrder().components(mode="STRONG").giant()
print("Second-order aggregate network has", len(g2.vs), "nodes and", len(g2.es), "edges")
for line in f:
data = line.split("\t")
nazwa = data[0]
numero = (int(data[1]))
delta = (int(data[2]))
r = (int(data[3]))
r_num = (int(data[4]))
f = (int(data[5]))
f_num = (int(data[6]))
e = (int(data[7]))
e_num = (int(data[8]))
n = (int(data[9]))
n_num = (int(data[10]))
t = tn.readFile('/home/marta/Downloads/'+nazwa+'_network.tedges', sep=" ", fformat="TEDGE", timestampformat="%s",
maxlines=sys.maxsize)
# t = tn.readFile('06_05.tedges', sep=" " ,fformat = "TEDGE", timestampformat="%s", maxlines=sys.maxsize)
#t1 = tn.TemporalNetwork()
t.setMaxTimeDiff(15)
#t.setMaxTimeDiff(1)
#print(t.Summary())
t.nodes.sort()
#t.extractTwoPaths()
#g1 = t.igraphFirstOrder()
#visual_style = {}
#visual_style["layout"] = g1.layout_auto()
from subprocess import call
from plotly import tools
from decimal import Decimal
import plotly.graph_objs as go
import random
import matplotlib
plt.switch_backend('agg')
#matplotlib.use('Agg')
# import plotly.figure_factory as ff
# tools.set_credentials_file(username='******', api_key='qiLX2oVUhZgnWOTX6nOV')
import matplotlib.pyplot as pl
#t = tn.readFile('example_network.tedges', sep=" ",fformat = "TEDGE", timestampformat="%s", maxlines=sys.maxsize)
t = tn.readFile('06_05.tedges',
sep=" ",
fformat="TEDGE",
timestampformat="%s",
maxlines=sys.maxsize)
t.setMaxTimeDiff(20)
t.nodes.sort()
nazwa = '0605'
numero = 100
attack = 0
# utworzenie macierzy polaczen miedzy kontaktami; A i C
# aktywnosc ukladu w czasie, w jednostce czasowej A_sum
def adj2(time_table_val, time_table_nr, a, C, A, A_sum, Nodes_edges, list):
n = 0
found = 0
A_test = np.zeros((len(t.nodes), len(t.nodes)))