eccentricity#
- eccentricity(G, v=None, sp=None, weight=None)[source]#
Returns 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:
- GNetworkX graph
A graph
- vnode, optional
Return value of specified node
- spdict of dicts, optional
All pairs shortest path lengths as a dictionary of dictionaries
- weightstring, function, or None (default=None)
If this is a string, then edge weights will be accessed via the edge attribute with this key (that is, the weight of the edge joining
u
tov
will beG.edges[u, v][weight]
). If no such edge attribute exists, the weight of the edge is assumed to be one.If this is a function, the weight of an edge is the value returned by the function. The function must accept exactly three positional arguments: the two endpoints of an edge and the dictionary of edge attributes for that edge. The function must return a number.
If this is None, every edge has weight/distance/cost 1.
Weights stored as floating point values can lead to small round-off errors in distances. Use integer weights to avoid this.
Weights should be positive, since they are distances.
- Returns:
- eccdictionary
A dictionary of eccentricity values keyed by node.
Examples
>>> G = nx.Graph([(1, 2), (1, 3), (1, 4), (3, 4), (3, 5), (4, 5)]) >>> dict(nx.eccentricity(G)) {1: 2, 2: 3, 3: 2, 4: 2, 5: 3}
>>> dict( ... nx.eccentricity(G, v=[1, 5]) ... ) # This returns the eccentricity of node 1 & 5 {1: 2, 5: 3}