When using a graph to represent a system with a network architecture, such
as a communications network or a transport network, debating the degree of
centrality of vertices in the graph and finding locations of the vertices w
ith the greatest amount of centrality is one topic of interest in graph and
network theory. With respect to this problem, various different methods ha
ve been considered for representing, the centrality of vertices in a graph
or a network. In general, this is referred to as a "centrality function." M
ost centrality functions use either the distance between two vertices or th
e maximum flow between two vertices. Centrality functions that use the maxi
mum flow value are obtained with respect to a network with capacities in ei
ther the: vertices or the edges. No centrality function has been defined fo
r a network with capacities in both the vertices and the edges. In this pap
er the authors consider a centrality function for a network with capacities
in the vertices and edges. This centrality function is defined using not o
nly the capacity of the edges but also the maximum flow between two vertice
s in the network obtained based on the relay capability of the vertices, an
d is thus considered significant. (C) 2001 Scripta Technica.