概述

<pre style="overflow:auto;line-height:1.5;font-family:Inconsolata,Monaco,Consolas,monospace;background-color:rgb(255,255,255);"><span class="c" style="font-style:italic;"><span style="font-size:12px;"><h1 style="font-family:'Roboto Slab','ff-tisa-web-pro',Georgia,Arial,sans-serif;color:rgb(64,64,64);background-color:rgb(252,252,252);"><span style="font-size:14px;font-weight:normal;">要绘制一个动态网络，到处找资料，收集相关的networkx绘图资料，计算路径的代码如下：<h1 style="font-family:'Roboto Slab',252);">NetworkX Examples—<span style="font-family:Inconsolata,monospace;line-height:1.5;background-color:rgb(255,255);">BASIC——properties

<code class="language-python">#!/usr/bin/env python

"""

Compute some network properties for the lollipop graph.

"""

Copyright (C) 2004 by
Aric Hagberg hagberg@lanl.gov
Dan Schult dschult@colgate.edu
Pieter Swart swart@lanl.gov
All rights reserved.
BSD license.
from networkx import *

G = lollipop_graph(4,6)

pathlengths=[]
单源最短路径算法求出节点v到图G每个节点的最短路径，存入pathlengths
print("source vertex {target:length,}")

for v in G.nodes():

spl=single_source_shortest_path_length(G,v)

print('%s %s' % (v,spl))

for p in spl.values():

pathlengths.append(p)
取出每条路径，计算平均值。
print('')print("average shortest path length %s" % (sum(pathlengths)/len(pathlengths)))
路径长度直方图，如果路径不存在，设为1，如果已经存在过一次，则原先基础上加1
histogram of path lengths
dist={}

for p in pathlengths:

if p in dist:

dist[p]+=1

else:

dist[p]=1
print('')

print("length #paths")

verts=dist.keys()

for d in sorted(verts):

print('%s %d' % (d,dist[d]))
内嵌函数求图G的多个属性
print("radius: %d" % radius(G))

print("diameter: %d" % diameter(G))

print("eccentricity: %s" % eccentricity(G))

print("center: %s" % center(G))

print("periphery: %s" % periphery(G))

print("density: %s" % density(G))

from networkx import *
G = lollipop_graph(4,6)
pathlengths=[]

print("source vertex {target:length,}")
for v in G.nodes():
spl=single_source_shortest_path_length(G,v)
print('%s %s' % (v,spl))
for p in spl.values():
pathlengths.append(p)

print('')print("average shortest path length %s" % (sum(pathlengths)/len(pathlengths)))

dist={}
for p in pathlengths:
if p in dist:
dist[p]+=1
else:
dist[p]=1

print('')
print("length #paths")
verts=dist.keys()
for d in sorted(verts):
print('%s %d' % (d,dist[d]))

print("radius: %d" % radius(G))
print("diameter: %d" % diameter(G))
print("eccentricity: %s" % eccentricity(G))
print("center: %s" % center(G))
print("periphery: %s" % periphery(G))
print("density: %s" % density(G))

from networkx import *
G = lollipop_graph(4,6)
pathlengths=[]

print("source vertex {target:length,}")
for v in G.nodes():
spl=single_source_shortest_path_length(G,v)
print('%s %s' % (v,spl))
for p in spl.values():
pathlengths.append(p)

print('')print("average shortest path length %s" % (sum(pathlengths)/len(pathlengths)))

dist={}
for p in pathlengths:
if p in dist:
dist[p]+=1
else:
dist[p]=1

print('')
print("length #paths")
verts=dist.keys()
for d in sorted(verts):
print('%s %d' % (d,dist[d]))

print("radius: %d" % radius(G))
print("diameter: %d" % diameter(G))
print("eccentricity: %s" % eccentricity(G))
print("center: %s" % center(G))
print("periphery: %s" % periphery(G))
print("density: %s" % density(G))

总结

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