modularity_score代码
时间: 2023-11-01 11:07:56 浏览: 45
以下是一个计算模块化得分的 Python 函数示例代码:
```python
import networkx as nx
def modularity_score(graph, community_dict):
"""
计算给定社区字典的模块化得分。
:param graph: 无向图对象,使用networkx库实现
:param community_dict: 社区字典,键为节点,值为社区标签
:return: 模块化得分
"""
# 计算图的总边权重
m = sum([graph.degree(node) for node in graph.nodes()])
# 计算每个社区的边权重和
community_weight = {}
for node, community_label in community_dict.items():
for neighbor in graph.neighbors(node):
if community_dict[neighbor] == community_label:
if community_label not in community_weight:
community_weight[community_label] = 0
community_weight[community_label] += 1
# 计算每个社区的节点度数和
community_degree = {}
for node, community_label in community_dict.items():
if community_label not in community_degree:
community_degree[community_label] = 0
community_degree[community_label] += graph.degree(node)
# 计算模块化得分
modularity = 0
for community_label in set(community_dict.values()):
if community_label in community_weight and community_label in community_degree:
modularity += (community_weight[community_label] / (2 * m)) - ((community_degree[community_label] / (2 * m)) ** 2)
return modularity
```
该函数使用 NetworkX 库来表示和操作图结构。它需要一个无向图对象和一个社区字典作为输入,其中键是节点,值是社区标签。函数返回计算出的模块化得分。