TY - CHAP
T1 - Finding most vital edges in a graph
AU - Shen, Hong
N1 - Publisher Copyright:
© 2007 by Taylor & Francis Group, LLC.
PY - 2007/1/1
Y1 - 2007/1/1
N2 - In many applications such as design of transportation networks, we often need to identify a set of regions/sections whose damage will cause the greatest increase in transportation cost within the network so that we can set extra protection to prevent them from being damaged.Modeling a transportation network with a weighted graph, a set of regions with a set of edges in the graph, transportation cost within the network with a particular property of the graph, we can convert this real-application problem to the following graph-theoretic problem: finding a set of edges in the graph, namely most vital edges or MVE for short, whose removal will cause the greatest damage to a particular property of the graph. The problems are traditionally referred to as prior analysis problems in sensitivity analysis (see Chapter 30).
AB - In many applications such as design of transportation networks, we often need to identify a set of regions/sections whose damage will cause the greatest increase in transportation cost within the network so that we can set extra protection to prevent them from being damaged.Modeling a transportation network with a weighted graph, a set of regions with a set of edges in the graph, transportation cost within the network with a particular property of the graph, we can convert this real-application problem to the following graph-theoretic problem: finding a set of edges in the graph, namely most vital edges or MVE for short, whose removal will cause the greatest damage to a particular property of the graph. The problems are traditionally referred to as prior analysis problems in sensitivity analysis (see Chapter 30).
UR - http://www.scopus.com/inward/record.url?scp=85056068803&partnerID=8YFLogxK
U2 - 10.1201/9781420010749
DO - 10.1201/9781420010749
M3 - Chapter
AN - SCOPUS:85056068803
SN - 1584885505
SN - 9781584885504
SP - 62-1-62-16
BT - Handbook of Approximation Algorithms and Metaheuristics
PB - CRC Press
ER -