영화별 출연진의 betweenness 평균 산출

@@ -216,6 +216,7 @@ data = {
     # "몽타주": "",
     # "명당": "",
     }
+#500만 이상 + 스크린 수당 매출액 50위 이상 => 79개 영화, 730개 노드, 9348개 엣지
 
 def named_union(graph1, graph2): #두 그래프 합성
     A = graph1.copy()
@@ -274,6 +275,7 @@ frequency[top[len(top) - 1]] = 1
 G = Graph.Full(len(top))
 G.vs["name"] = top[:]
 G.vs["label"] = G.vs["name"][:]
+topTmp = data["명량"]
 del data["명량"]
 
 for movie in data:
@@ -302,6 +304,9 @@ for movie in data:
                 weight[join]["audiences"] += audiences[movie]
                 weight[join]["count"] += 1
 
+for f in sorted(list(frequency.keys()), key=lambda x: frequency[x], reverse=True)[:10]:
+    print(f, frequency[f])
+
 print("\n<같은 영화에 같이 출연한 빈도수>")
 topten = sorted(keys, key=lambda n: weight[n]["count"], reverse=True)[:10]
 for t in topten:
@@ -343,6 +348,27 @@ egSorted = sorted(eg, reverse=True)[:10]
 topEg = sorted(names1, key=lambda n: eg[names2.index(n)], reverse=True)[:10]
 printResult(topEg, egSorted, 5, 8, 10)
 
+avgOfBn = []
+totalBn = 0
+topActors = topTmp.split(",")
+for actor in topActors:
+    i = names.index(actor)
+    totalBn += bn[i]
+avgOfBn.append({"movie":"명량", "avgOfBn":totalBn / len(topActors)})
+
+for movie in data:
+    totalBn = 0
+    actors = data[movie].split(",")
+    for actor in actors:
+        i = names.index(actor)
+        totalBn += bn[i]
+    avgOfBn.append({"movie":movie, "avgOfBn":totalBn / len(actors)})
+
+print("\n<average of betweenness>")
+avgOfBnSorted = sorted(avgOfBn, key=lambda n: n["avgOfBn"], reverse=True)[:10]
+for a in avgOfBnSorted:
+    print(a["movie"], a["avgOfBn"])
+
 print("\n<total nodes>")
 print(len(G.vs))
 
@@ -362,4 +388,4 @@ out = plot(G,
     )
 out.save("test.png")
 
-#C:\Users\ghdms\2014104137\소스코드\movie.py
\ No newline at end of file
+#C:\Users\ghdms\2014104137\소스코드\centrality.py
\ No newline at end of file