docstr: Weighted betweenness centrality:
  Florentine families graph
docstr_tok: ["Weighted","betweenness","centrality",":","Florentine","families","graph"]
code: def test_florentine_families_graph(self):
      """Weighted betweenness centrality:
      Florentine families graph"""
      G = nx.florentine_families_graph()
      b_answer = {
          "Acciaiuoli": 0.000,
          "Albizzi": 0.212,
          "Barbadori": 0.093,
          "Bischeri": 0.104,
          "Castellani": 0.055,
          "Ginori": 0.000,
          "Guadagni": 0.255,
          "Lamberteschi": 0.000,
          "Medici": 0.522,
          "Pazzi": 0.000,
          "Peruzzi": 0.022,
          "Ridolfi": 0.114,
          "Salviati": 0.143,
          "Strozzi": 0.103,
          "Tornabuoni": 0.092,
      }
  
      b = nx.betweenness_centrality(G, weight="weight", normalized=True)
      for n in sorted(G):
          assert b[n] == pytest.approx(b_answer[n], abs=1e-3)
  
imports: import pytest
  import networkx
label_desc: Use image node_id 6 for calling the TestWeightedBetweennessCentrality obj's underlying member method code with example usage: obj.test_florentine_families_graph() without return types