visualiztion section started

tex/code/closeness_analysis_2.py

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+dfs = {
+    i: pd.read_csv(f"top_movies_{i:02d}_c.txt", sep='\t', usecols=[1], names=["movie"])
+    for i in [500, 1000, 5000, 10000, 25000, 50000, 75000, 100000]}
+sets = {i: set(df["movie"]) for i, df in dfs.items()}
+
+diff = []
+for i in sets.keys():
+    diff.append([len(sets[i]) - len(sets[i] & sets[j]) for j in sets.keys()])
+diff = np.array(diff, dtype=float)
+diff /= len(next(iter(sets.values())))