Document Type
Article
Publication Date
Fall 2009
Publication Title
Applied Mathematics and Computation
Volume
215
Issue
1
First Page
353
Keywords
Edge-weighted-colored multidigraph, Edge-colored paths, Adjacency matrix, Decision making, Status quo analysis, Graph model for conflict resolution
Last Page
366
Abstract
An algebraic approach to finding all edge-weighted-colored paths within a weighted colored multidigraph is developed. Generally, the adjacency matrix represents a simple digraph and determines all paths between any two vertices, and is not readily extendable to colored multidigraphs. To bridge the gap, a conversion function is proposed to transform the original problem of searching edge-colored paths in a colored multidigraph to a standard problem of finding paths in a simple digraph. Moreover, edge weights can be used to represent some preference attribute. Its potentially wide realm of applicability is illustrated by a case study: status quo analysis in the graph model for conflict resolution. The explicit matrix function is more convenient than other graphical representations for computer implementation and for adapting to other applications. Additionally, the algebraic approach reveals the relationship between a colored multidigraph and a simple digraph, thereby providing new insights into algebraic graph theory.
Recommended Citation
Xu, Haiyan; Li, Kevin W. Dr.; Kilgour, D. Marc; and Hipel, Keith W. .. (2009). A matrix-based approach to searching colored paths in a weighted colored multidigraph. Applied Mathematics and Computation, 215 (1), 353-366.
https://scholar.uwindsor.ca/odettepub/64
Comments
NOTICE: this is the author’s version of a work that was accepted for publication in Applied Mathematics and Computation. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Applied Mathematics and Computation, 215, 1 (2009) http://dx.doi.org/10.1016/j.amc.2009.04.086.