중간보고서 제출

@@ -232,9 +232,12 @@ def named_union(graph1, graph2): #두 그래프 합성
     Z.vs["label"] = Z.vs["name"][:]
     return Z
 
+frequency = {}
 weight = {}
 keys = []
 top = data["명량"].split(",")
+for t in top:
+    frequency[t] = 1
 G = Graph.Full(len(top))
 G.vs["name"] = top[:]
 G.vs["label"] = G.vs["name"][:]
@@ -246,6 +249,11 @@ for movie in data:
     g.vs["name"] = actors[:]
     g.vs["label"] = g.vs["name"][:]
     G = named_union(G, g)
+    for a in actors:
+        if(a not in frequency):
+            frequency[a] = 1
+        else:
+            frequency[a] += 1
 
     for i in range(0, len(actors)-1):
         for j in range(i+1, len(actors)):
@@ -271,7 +279,10 @@ names, names1, names2 = G.vs["name"][:], G.vs["name"][:], G.vs["name"][:]
 
 degree = G.degree()
 print(sorted(degree, reverse=True)[:10])
-print(sorted(names1, key=lambda n: degree[names2.index(n)], reverse=True)[:10])
+topDegree = sorted(names1, key=lambda n: degree[names2.index(n)], reverse=True)[:10]
+for td in topDegree:
+    print(td + "(" + str(frequency[td]) + ")")
+print("정인기(" + str(frequency["정인기"]) + ")")
 
 edge_weight = [1] * len(G.es)
 for k in keys:
@@ -291,6 +302,8 @@ cn = G.closeness(weights=edge_weight)
 print(sorted(cn, reverse=True)[:10])
 print(sorted(names1, key=lambda n: cn[names2.index(n)], reverse=True)[:10])
 
+print(len(G.vs))
+print(len(G.es))
 out = plot(G,
     bbox = (2000, 2000),
     vertex_size = [int((float(i)/max(bn)) * 20) + 5 for i in bn],