cdlib.evaluation.purity

cdlib.evaluation.purity(communities: object) → FitnessResult

纯度是社区内节点携带的最频繁标签的频率的乘积

Parameters:

communities – AttrNodeClustering 对象

Returns:

FitnessResult 对象

示例：

>>> from cdlib.algorithms import eva
>>> from cdlib import evaluation
>>> import random
>>> l1 = ['A', 'B', 'C', 'D']
>>> l2 = ["E", "F", "G"]
>>> g = nx.barabasi_albert_graph(100, 5)
>>> labels=dict()
>>> for node in g.nodes():
>>>    labels[node]={"l1":random.choice(l1), "l2":random.choice(l2)}
>>> communities = eva(g_attr, labels, alpha=0.5)
>>> pur = evaluation.purity(communities)

References:

1. Citraro, Salvatore, 和 Giulio Rossetti. “Eva: 属性感知网络分割.” 国际复杂网络及其应用会议. Springer, Cham, 2019.