def generate_graph(n, beta, mean_degree):
"""
Test Graph generation
"""
G = nx.empty_graph(n)
degreeArray = utils.degreeDistribution(beta, n, mean_degree)
utils.randPairings(G, degreeArray)
# output of the RGG
if not os.path.exists('generated'):
os.mkdir('generated')
txtName = "generated/adj-%s-%s-%s-.txt" % (str(n), str(beta), str(mean_degree))
nx.write_adjlist(G, txtName)
# plotting
utils.drawDegreeHistogram(G)
if n < 1000:
utils.drawGraph(G)
pngname = "generated/graph-%s-%s-%s-.png" % (str(n), str(beta), str(mean_degree))
plt.savefig(pngname)
if not os.path.exists('feed'):
os.mkdir('feed')
utils.generateFeed(n)
def generate_graph(n, beta, mean_degree):
"""
Test Graph generation
"""
G = nx.empty_graph(n)
degreeArray = utils.degreeDistribution(beta, n, mean_degree)
utils.randPairings(G, degreeArray)
# output of the RGG
if not os.path.exists('generated'):
os.mkdir('generated')
txtName = "generated/adj-%s-%s-%s-.txt" % (str(n), str(beta),
str(mean_degree))
nx.write_adjlist(G, txtName)
# plotting
utils.drawDegreeHistogram(G)
if n < 1000:
utils.drawGraph(G)
pngname = "generated/graph-%s-%s-%s-.png" % (str(n), str(beta),
str(mean_degree))
plt.savefig(pngname)
if not os.path.exists('feed'):
os.mkdir('feed')
utils.generateFeed(n)
def RGG(n, beta, mean_degree):
G = nx.empty_graph(n)
degreeArray = utils.degreeDistribution(beta, n, mean_degree)
utils.randPairings(G, degreeArray)
txtName = "generated/adj-%s-%s-%s-.txt" % (str(n), str(beta), str(mean_degree))
nx.write_adjlist(G, txtName)
utils.drawDegreeHistogram(G)
if n < 1000:
utils.drawGraph(G)
pngname = "generated/graph-%s-%s-%s-.png" % (str(n), str(beta), str(mean_degree))
plt.savefig(pngname)
def RGG(n, beta, mean_degree):
G = nx.empty_graph(n)
degreeArray = utils.degreeDistribution(beta, n, mean_degree)
utils.randPairings(G, degreeArray)
txtName = "generated/adj-%s-%s-%s-.txt" % (str(n), str(beta),
str(mean_degree))
nx.write_adjlist(G, txtName)
utils.drawDegreeHistogram(G)
if n < 1000:
utils.drawGraph(G)
pngname = "generated/graph-%s-%s-%s-.png" % (str(n), str(beta),
str(mean_degree))
plt.savefig(pngname)