new_contents: import json
  import networkx as nx
  
  with open('../output/aminer_cites.json') as data_file:
      data = json.load(data_file)
  
  for publication in data :
      G = nx.Graph()
  
      papers = data[publication]
      for paper in papers :
          cites = data[publication][paper]
          for cite in cites :
              src = paper
              dest = cite['index']
              G.add_edge(src, dest)
  
      A = nx.adjacency_matrix(G).todense()
  
      from numpy import linalg as LA
      w, v = LA.eig(A)
  
      print publication
      # eigen values
      print w
      # eigen vectors
      print v
  
subject: add code to find eigen values and vectors