1. Related concepts

2. Algorithm for finding pseudo-peripheral vertices

3. See also

4. Notes

In the mathematical field of graph theory, the distance between two vertices in a graph is the number of edges in a shortest path (also called a graph geodesic) connecting them. This is also known as the geodesic distance.^[1] Notice that there may be more than one shortest path between two vertices.^[2] If there is no path connecting the two vertices, i.e., if they belong to different connected components, then conventionally the distance is defined as infinite.

In the case of a directed graph the distance between two vertices and is defined as the length of a shortest directed path from to consisting of arcs, provided at least one such path exists.^[3] Notice that, in contrast with the case of undirected graphs, does not necessarily coincide with , and it might be the case that one is defined while the other is not.

Related concepts

A metric space defined over a set of points in terms of distances in a graph defined over the set is called a graph metric.

The vertex set (of an undirected graph) and the distance function form a metric space, if and only if the graph is connected.

The eccentricity of a vertex is the greatest distance between and any other vertex; in symbols that is . It can be thought of as how far a node is from the node most distant from it in the graph.

The radius of a graph is the minimum eccentricity of any vertex or, in symbols, .

The diameter of a graph is the maximum eccentricity of any vertex in the graph. That is, is the greatest distance between any pair of vertices or, alternatively, . To find the diameter of a graph, first find the shortest path between each pair of vertices. The greatest length of any of these paths is the diameter of the graph.

A central vertex in a graph of radius is one whose eccentricity is —that is, a vertex that achieves the radius or, equivalently, a vertex such that .

A peripheral vertex in a graph of diameter is one that is distance from some other vertex—that is, a vertex that achieves the diameter. Formally, is peripheral if .

A pseudo-peripheral vertex has the property that for any vertex , if is as far away from as possible, then is as far away from as possible. Formally, a vertex u is pseudo-peripheral,

if for each vertex v with holds .

The partition of a graph's vertices into subsets by their distances from a given starting vertex is called the level structure of the graph.

A graph such that for every pair of vertices there is a unique shortest path connecting them is called a geodetic graph. For example, all trees are geodetic.^[4]

Algorithm for finding pseudo-peripheral vertices

Often peripheral sparse matrix algorithms need a starting vertex with a high eccentricity. A peripheral vertex would be perfect, but is often hard to calculate. In most circumstances a pseudo-peripheral vertex can be used. A pseudo-peripheral vertex can easily be found with the following algorithm:

1. Choose a vertex .
2. Among all the vertices that are as far from as possible, let be one with minimal degree.
3. If then set and repeat with step 2, else is a pseudo-peripheral vertex.

See also

• Distance matrix
• Resistance distance
• Betweenness centrality
• Centrality
• Closeness
• Degree diameter problem for graphs and digraphs
• Metric graph

Notes

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