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Finding the Most Vital Node of a Shortest Path

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Computing and Combinatorics (COCOON 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2108))

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Abstract

In an undirected, 2-node connected graph G = (V,E) with positive real edge lengths, the distance between any two nodes r and s is the length of a shortest path between r and s in G. The removal of a node and its incident edges from G mayincrease the distance from r to s. A most vital node of a given shortest path from r to s is a node (other than r and s) whose removal from G results in the largest increase of the distance from r to s. In the past, the problem of finding a most vital node of a given shortest path has been studied because of its implications in network management, where it is important to know in advance which component failure will affect network efficiency the most. In this paper, we show that this problem can be solved in O(m + n log n) time and O(m) space, where m and n denote the number of edges and the number of nodes in G.

This work has been partiallysupp orted bythe Research Training Network contract no. HPRN-CT-1999-00104 funded bythe European Union, and bythe Research Project REACTION, partiallyfunded bythe Italian Ministryof University.

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Nardelli, E., Proietti, G., Widmayer, P. (2001). Finding the Most Vital Node of a Shortest Path. In: Wang, J. (eds) Computing and Combinatorics. COCOON 2001. Lecture Notes in Computer Science, vol 2108. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44679-6_31

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  • DOI: https://doi.org/10.1007/3-540-44679-6_31

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  • Print ISBN: 978-3-540-42494-9

  • Online ISBN: 978-3-540-44679-8

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