def do_a_series_of_propagations(self):
index = 0
while index < self.rounds and self.flag:
index = index + 1
print("Label propagation round: " + str(index))
self.do_a_propagation()
print("")
print("Modularity is: "+ str(round(modularity(self.labels,self.graph),3)) + ".")
json_dumper(self.labels, self.args.assignment_output)
def do_a_series_of_propagations(self):
"""
Doing propagations until convergence or reaching time budget.
"""
index = 0
while index < self.rounds and self.flag:
index = index + 1
print("\nLabel propagation round: " + str(index)+".\n")
self.do_a_propagation()
print("")
print("Modularity is: "+ str(round(modularity(self.labels,self.graph),3)) + ".\n")
json_dumper(self.labels, self.args.assignment_output)
def do_a_series_of_propagations(self):
"""
Doing propagations until convergence or reaching time budget.
"""
index = 0
while index < self.rounds and self.flag:
index = index + 1
print("\nLabel propagation round: " + str(index)+".\n")
self.do_a_propagation()
self.rounds=self.rounds-1
with open ('./data/lpani.txt','w') as f:
for i in self.nodes:
f.write(str(self.labels[i])+'\t')
f.write(str(i)+'\t')
f.write('\n')
print("")
for node in tqdm(self.nodes):
print(self.labels[node])
print("Modularity is: " + str(round(modularity( self.labels,self.graph), 40)) + ".\n")
json_dumper(self.labels, self.args.assignment_output)