2 research outputs found
From Graph Isoperimetric Inequality to Network Connectivity -- A New Approach
We present a new, novel approach to obtaining a network's connectivity. More
specifically, we show that there exists a relationship between a network's
graph isoperimetric properties and its conditional connectivity. A network's
connectivity is the minimum number of nodes, whose removal will cause the
network disconnected. It is a basic and important measure for the network's
reliability, hence its overall robustness. Several conditional connectivities
have been proposed in the past for the purpose of accurately reflecting various
realistic network situations, with extra connectivity being one such
conditional connectivity. In this paper, we will use isoperimetric properties
of the hypercube network to obtain its extra connectivity. The result of the
paper for the first time establishes a relationship between the age-old
isoperimetric problem and network connectivity.Comment: 17 pages, 0 figure
Vulnerability of super edge-connected graphs
A subset of edges in a connected graph is a -extra edge-cut if
is disconnected and every component has more than vertices. The
-extra edge-connectivity \la^{(h)}(G) of is defined as the minimum
cardinality over all -extra edge-cuts of . A graph , if \la^{(h)}(G)
exists, is super-\la^{(h)} if every minimum -extra edge-cut of
isolates at least one connected subgraph of order . The persistence
of a super-\la^{(h)} graph is the maximum integer for
which is still super-\la^{(h)} for any set with
. Hong {\it et al.} [Discrete Appl. Math. 160 (2012), 579-587]
showed that \min\{\la^{(1)}(G)-\delta(G)-1,\delta(G)-1\}\leqslant
\rho^{(0)}(G)\leqslant \delta(G)-1, where is the minimum
vertex-degree of . This paper shows that
\min\{\la^{(2)}(G)-\xi(G)-1,\delta(G)-1\}\leqslant \rho^{(1)}(G)\leqslant
\delta(G)-1, where is the minimum edge-degree of . In particular,
for a -regular super-\la' graph , if \la^{(2)}(G)
does not exist or is super-\la^{(2)} and triangle-free, from which the
exact values of are determined for some well-known networks