def METHOD_NAME(self):
    G = self.davis
    bet = bipartite.betweenness_centrality(G, self.top_nodes)
    answer = {
        "E8": 0.24,
        "E9": 0.23,
        "E7": 0.13,
        "Nora Fayette": 0.11,
        "Evelyn Jefferson": 0.10,
        "Theresa Anderson": 0.09,
        "E6": 0.07,
        "Sylvia Avondale": 0.07,
        "Laura Mandeville": 0.05,
        "Brenda Rogers": 0.05,
        "Katherina Rogers": 0.05,
        "E5": 0.04,
        "Helen Lloyd": 0.04,
        "E3": 0.02,
        "Ruth DeSand": 0.02,
        "Verne Sanderson": 0.02,
        "E12": 0.02,
        "Myra Liddel": 0.02,
        "E11": 0.02,
        "Eleanor Nye": 0.01,
        "Frances Anderson": 0.01,
        "Pearl Oglethorpe": 0.01,
        "E4": 0.01,
        "Charlotte McDowd": 0.01,
        "E10": 0.01,
        "Olivia Carleton": 0.01,
        "Flora Price": 0.01,
        "E2": 0.00,
        "E1": 0.00,
        "Dorothy Murchison": 0.00,
        "E13": 0.00,
        "E14": 0.00,
    }
    for node, value in answer.items():
        assert value == pytest.approx(bet[node], abs=1e-2)