converted to python3

Tracker.py

@@ -28,9 +28,9 @@ def compare_communities(self,):
 				self.inclusions = {}
 				window_id = 'TF%s -> TF%s' % (index,index+1)
 				Dhypergraph = nx.DiGraph(window=window_id)
-				print 'Initialize inclusions dict start...'
+				print ('Initialize inclusions dict start...')
 				Dhypergraph = self.initialize_inclusions(index,Dhypergraph)
-				print 'Initialize inclusions dict finish...'
+				print ('Initialize inclusions dict finish...')
 
 				for ic,community_t in enumerate(interval):
 
@@ -88,12 +88,12 @@ def analyze_results(self,):
 						'forming', 'no_event']
 		events = [e['resulted_event'] for e in self.results]
 		for name in events_names:
-			print name, events.count(name)
+			print (name, events.count(name))
 
 if __name__=='__main__':
 	if len(sys.argv) !=	2:
-		print 'Usage: Tracker.py <inputfile.json>'
-		print 'Exiting with code 1'
+		print ('Usage: Tracker.py <inputfile.json>')
+		print ('Exiting with code 1')
 		exit(1)
 	start_time = time.time()
 	graphs = preprocessing.getGraphs(sys.argv[1])
@@ -102,6 +102,6 @@ def analyze_results(self,):
 	with open('ged_results.csv','w')as f:
 		for hypergraph in tracker.hypergraphs:
 			hypergraph.calculateEvents(f)
-	print "--- %s seconds ---" %(time.time() - start_time)
+	print ("--- %s seconds ---" %(time.time() - start_time))
 
 

inclusion.py

@@ -33,10 +33,9 @@ def find_group_quantity(self, intersection, g1):
                           float(g1.number_of_nodes()))
 
     def find_group_quality(self, intersection, g1):
-        intersection_sum = sum([g1.node[node]['centrality'] for node in intersection])
+        intersection_sum = sum([g1._node[node]['centrality'] for node in intersection])
         g1_sum = sum([d['centrality'] for node,d in g1.nodes(data=True)])
-        if (not g1_sum):
-			return 0
+        if (not g1_sum): return 0
         return intersection_sum / g1_sum
 
 
@@ -86,8 +85,8 @@ def __init__(self, g1, g2):
     def find_degree(self, initial_graph):
         #degrees_dict = nx.pagerank(initial_graph, alpha=0.9)
         degrees_dict = nx.degree_centrality(initial_graph)
-        for node, value in degrees_dict.iteritems():
-            initial_graph.node[node]['centrality'] = value
+        for node, value in degrees_dict.items():
+            initial_graph._node[node]['centrality'] = value
         return initial_graph
 
     def find_inclusions(self, g1, g2):

preprocessing.py

@@ -20,8 +20,8 @@ def getGraphs(communitiesfile):
 		with open(communitiesfile) as f:
 			data = json.load(f)
 	except:
-		print "Cannot load %s file. Expecting <input>.json file" % communitiesfile
-		print "Exiting with code 1\n"
+		print ("Cannot load %s file. Expecting <input>.json file" % communitiesfile)
+		print ("Exiting with code 1\n")
 		exit(1)
 	graphs = createGraphs(data)
 	return graphs