Title
Average Distance in Interconnection Networks via Reduction Theorems for Vertex-Weighted Graphs.
Abstract
Average distance is an important parameter for measuring the communication cost of computer networks. A popular approach for its computation is to first partition the edge set of a network into convex components using the transitive closure of the Djokovic-Winkler's relation and then to compute the average distance from the respective invariants of the components. In this article, we refine this idea further by shrinking the quotient graphs into smaller weighted graph called reduced graph, so that the average distance of the original graph is obtained from the reduced graphs. We demonstrate the significance of this technique by computing the average distance of butterfly and hypertree architectures. Along the way, a computational error from Klavzar and Nadjafi-Arani ((2014) Wiener index in weighted graphs via unification of Theta*-classes, Eur. J. Combin. 36, 71-76) is corrected.
Year
DOI
Venue
2016
10.1093/comjnl/bxw046
COMPUTER JOURNAL
Keywords
Field
DocType
average distance,Wiener index,vertex-weighted graph,butterfly network,hypertree network
Graph,Discrete mathematics,Combinatorics,Vertex (geometry),Computer science,Interconnection
Journal
Volume
Issue
ISSN
59
12
0010-4620
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Sandi Klavžar173884.46
Paul Manuel222117.42
M. J. Nadjafi-Arani31159.93
R. Sundara Rajan44610.66
Cyriac Grigorious584.07
Sudeep Stephen694.42