Python 在Neo4j或NetworkX中有没有办法找到图形的中心？

我是图论新手。目前我正在使用Neo4j，我需要在子图中找到中心节点进行分析。有没有办法在Neo4j或NetworkX中找到中心节点

这可以在NetworkX中使用来完成，它返回图形中的中心节点列表。下面是以红色绘制中心节点的示例

示例代码：

import networkx as nx
from networkx.algorithms.distance_measures import center

# Set up graph
G = nx.barbell_graph(5, 5)

# Get position using spring layout
pos = nx.spring_layout(G)

# Get center node(s)
c = center(G)

# Draw non-central nodes & all edges
nx.draw_networkx_nodes(G, pos, nodelist=set(G.nodes)-set(c))
nx.draw_networkx_edges(G, pos)

# Draw central nodes in red
nx.draw_networkx_nodes(G, pos, nodelist=c, node_color='r')

# Draw labels
nx.draw_networkx_labels(G, pos)

G = nx.barbell_graph(5, 5)

输出：

import networkx as nx
from networkx.algorithms.distance_measures import center

# Set up graph
G = nx.barbell_graph(5, 5)

# Get position using spring layout
pos = nx.spring_layout(G)

# Get center node(s)
c = center(G)

# Draw non-central nodes & all edges
nx.draw_networkx_nodes(G, pos, nodelist=set(G.nodes)-set(c))
nx.draw_networkx_edges(G, pos)

# Draw central nodes in red
nx.draw_networkx_nodes(G, pos, nodelist=c, node_color='r')

# Draw labels
nx.draw_networkx_labels(G, pos)

G = nx.barbell_graph(5, 5)

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什么是中心节点？这里的中心节点是指偏心率等于半径的节点。显然，networkx确实具有这样的偏心率。