def test_example(filename, size, matrix = False):
print("Warning: Networkx version should be 2.3, current version:")
print(nx.__version__)
if matrix == False:
net = nread.read_undirected(filename, size, True)
else:
net = nread.read_undirected_matrix(filename, include_networkx = True)
print("Min-Max degrees:", npr.min_max(net))
## print("Degree distribution:", network_distribution(net))
## print("Network diameter:", lengths_ecc_diameter(net)[2])
print("Clique number:", npr.clique_number(net))
print("Average Clustering Coefficient:", npr.average_clustering(net))
print("Graph Density:", npr.graph_density(net))
print(npr.gamma(net))
def test_example_print(filename, size, matrix=False):
os.makedirs("output")
if matrix == False:
net = nread.read_undirected(filename, size, True)
else:
net = nread.read_undirected_matrix(filename, include_networkx=True)
print("Min-Max degrees:", min_max(net))
## print("Degree distribution:", network_distribution(net))
## print("Network diameter:", lengths_ecc_diameter(net)[2])
print("Clique number:", clique_number(net,
"output/graph_clique_number.txt"))
print("Average Clustering Coefficient:",
average_clustering(net, "output/graph_acc.txt"))
print("Graph Density:", graph_density(net, "output/graph_density.txt"))
print(gamma(net, "output/graph_gamma.txt"))
def get_properties_files(filename_base,
files_count_from,
files_count_to,
size,
properties,
matrix=False):
try:
os.makedirs("output")
except:
pass
for i in range(int(files_count_from), int(files_count_to + 1)):
if matrix == False:
net = nread.read_undirected(filename_base + str(i) + ".csv", size,
True)
else:
net = nread.read_undirected_matrix(filename_base + str(i) + ".csv",
include_networkx=True)
for prop in properties:
get_property(prop, net)