Source code for networkx.algorithms.distance_measures
# -*- coding: utf-8 -*-
"""
Graph diameter, radius, eccentricity and other properties.
"""
__author__ = "\n".join(['Aric Hagberg (hagberg@lanl.gov)',
'Dan Schult(dschult@colgate.edu)'])
# Copyright (C) 2004-2010 by
# Aric Hagberg <hagberg@lanl.gov>
# Dan Schult <dschult@colgate.edu>
# Pieter Swart <swart@lanl.gov>
# All rights reserved.
# BSD license.
__all__ = ['eccentricity', 'diameter', 'radius', 'periphery', 'center']
import networkx
[docs]def eccentricity(G, v=None, sp=None):
"""Return the eccentricity of nodes in G.
The eccentricity of a node v is the maximum distance from v to
all other nodes in G.
Parameters
----------
G : NetworkX graph
A graph
v : node, optional
Return value of specified node
sp : dict of dicts, optional
All pairs shortest path lengths as a dictionary of dictionaries
Returns
-------
ecc : dictionary
A dictionary of eccentricity values keyed by node.
"""
# nodes=
# nodes=[]
# if v is None: # none, use entire graph
# nodes=G.nodes()
# elif v in G: # is v a single node
# nodes=[v]
# else: # assume v is a container of nodes
# nodes=v
order=G.order()
e={}
for n in G.nbunch_iter(v):
if sp is None:
length=networkx.single_source_shortest_path_length(G,n)
L = len(length)
else:
try:
length=sp[n]
L = len(length)
except TypeError:
raise networkx.NetworkXError('Format of "sp" is invalid.')
if L != order:
msg = "Graph not connected: infinite path length"
raise networkx.NetworkXError(msg)
e[n]=max(length.values())
if v in G:
return e[v] # return single value
else:
return e
[docs]def diameter(G, e=None):
"""Return the diameter of the graph G.
The diameter is the maximum eccentricity.
Parameters
----------
G : NetworkX graph
A graph
e : eccentricity dictionary, optional
A precomputed dictionary of eccentricities.
Returns
-------
d : integer
Diameter of graph
See Also
--------
eccentricity
"""
if e is None:
e=eccentricity(G)
return max(e.values())
[docs]def periphery(G, e=None):
"""Return the periphery of the graph G.
The periphery is the set of nodes with eccentricity equal to the diameter.
Parameters
----------
G : NetworkX graph
A graph
e : eccentricity dictionary, optional
A precomputed dictionary of eccentricities.
Returns
-------
p : list
List of nodes in periphery
"""
if e is None:
e=eccentricity(G)
diameter=max(e.values())
p=[v for v in e if e[v]==diameter]
return p
[docs]def radius(G, e=None):
"""Return the radius of the graph G.
The radius is the minimum eccentricity.
Parameters
----------
G : NetworkX graph
A graph
e : eccentricity dictionary, optional
A precomputed dictionary of eccentricities.
Returns
-------
r : integer
Radius of graph
"""
if e is None:
e=eccentricity(G)
return min(e.values())
[docs]def center(G, e=None):
"""Return the center of the graph G.
The center is the set of nodes with eccentricity equal to radius.
Parameters
----------
G : NetworkX graph
A graph
e : eccentricity dictionary, optional
A precomputed dictionary of eccentricities.
Returns
-------
c : list
List of nodes in center
"""
if e is None:
e=eccentricity(G)
# order the nodes by path length
radius=min(e.values())
p=[v for v in e if e[v]==radius]
return p