能不能写一段NetworkX的PYTHON代码
时间: 2023-03-07 16:51:23 浏览: 78
我可以写一段NetworkX的PYTHON代码:import networkx as nxG = nx.Graph()
G.add_node(1)
G.add_node(2)
G.add_edge(1,2)nx.draw(G, with_labels=True)
相关问题
写一段python代码重新实现nx.betweenness_centrality函数
好的,以下是重新实现nx.betweenness_centrality函数的Python代码:
```python
import networkx as nx
def my_betweenness_centrality(G):
betweenness_centrality = {}
nodes = G.nodes()
for node in nodes:
betweenness_centrality[node] = 0
for s in nodes:
S = []
P = {}
for node in nodes:
P[node] = []
sigma = {}
sigma[s] = 1
d = {}
for node in nodes:
d[node] = -1
d[s] = 0
Q = [s]
while Q:
v = Q.pop(0)
S.append(v)
for w in G.neighbors(v):
if d[w] < 0:
Q.append(w)
d[w] = d[v] + 1
if d[w] == d[v] + 1:
sigma[w] = sigma[w] + sigma[v]
P[w].append(v)
delta = {}
for node in nodes:
delta[node] = 0
while S:
w = S.pop()
for v in P[w]:
delta[v] = delta[v] + (sigma[v] / sigma[w]) * (1 + delta[w])
if w != s:
betweenness_centrality[w] = betweenness_centrality[w] + delta[w]
return betweenness_centrality
# 创建一个图
G = nx.Graph()
# 添加节点
G.add_nodes_from([1, 2, 3, 4])
# 添加边
G.add_edges_from([(1, 2), (1, 3), (2, 3), (2, 4)])
# 计算节点的betweenness centrality
bc = my_betweenness_centrality(G)
# 输出结果
print(bc)
```
在这个例子中,我们定义了一个名为my_betweenness_centrality的函数来重新实现nx.betweenness_centrality函数。该函数接受一个图G作为输入,并返回一个字典,其中包含每个节点的betweenness centrality值。我们使用Brandes算法来计算每个节点的betweenness centrality值。
在这个例子中,我们创建了一个包含4个节点和4条边的图。然后,我们使用my_betweenness_centrality函数计算每个节点的betweenness centrality,并将结果存储在bc变量中。最后,我们打印出这些结果。
写一段python代码实现函数nx.degree_assortativity_coefficient
好的,以下是实现函数 `nx.degree_assortativity_coefficient` 的 Python 代码:
```python
import networkx as nx
def degree_assortativity_coefficient(G):
return nx.degree_assortativity_coefficient(G)
```
这个函数接受一个 NetworkX 图作为参数,并返回该图的度相关性系数。注意,这个函数需要 NetworkX 库的支持,如果你还没有安装它,可以使用以下命令进行安装:
```
pip install networkx
```
希望能对你有所帮助!