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Finding the most relevant fragments in networks

By Kevin Buchin, Sergio Cabello, Joachim Gudmundsson, Maarten Löffler, Jun Luo, Günter Rote, Rodrigo I. Silveira, Bettina Speckmann and Thomas WolleKevin Buchin, Sergio Cabello, Joachim Gudmundsson, Maarten Löffler, Jun Luo, Günter Rote, Rodrigo I. Silveira, Bettina Speckmann and Thomas Wolle

Abstract

We study a point pattern detection problem on networks, motivated by applications in geographical analysis, such as crime hotspot detection. Given a network N (a connected graph with non-negative edge lengths) together with a set of sites, which lie on the edges or vertices of N, we look for a connected subnetwork F of N of small total length that contains many sites. The edges of F can form parts of the edges of N. We consider different variants of this problem where N is either a general graph or restricted to a tree, and the subnetwork F that we are looking for is either a simple path, a path with self-intersections at vertices, or a tree. We give polynomial-time algorithms, NPhardness and NP-completeness proofs, approximation algorithms, and also fixed-parameter tractable algorithms.

Year: 2009
OAI identifier: oai:CiteSeerX.psu:10.1.1.417.7514
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