networkx完成三级分布
时间: 2024-06-10 11:04:03 浏览: 65
要使用Networkx完成三级分布,首先你需要有一个图形结构的数据,可以是一个有向图或无向图。然后,你可以使用Networkx的函数来计算节点的三级分布。
以下是一个使用Networkx计算三级分布的示例代码:
``` python
import networkx as nx
def calculate_three_hop_distribution(graph):
three_hop_distribution = {}
for node in graph.nodes:
neighbors = set(graph.neighbors(node))
three_hop_neighbors = set(neighbors)
for neighbor in neighbors:
three_hop_neighbors.update(graph.neighbors(neighbor))
three_hop_neighbors.remove(node)
three_hop_distribution[node] = len(three_hop_neighbors)
return three_hop_distribution
# 创建一个有向图
graph = nx.DiGraph()
graph.add_edges_from([(1, 2), (2, 3), (3, 4), (4, 5)])
# 计算三级分布
three_hop_distribution = calculate_three_hop_distribution(graph)
# 打印结果
for node, distribution in three_hop_distribution.items():
print(f"节点 {node} 的三级分布为: {distribution}")
```