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Part of the book series: Progress in Computer Science and Applied Logic (PCS) ((PCS,volume 24))

Abstract

In the current chapter we are going to address a new problem in the domain of graph matching. All algorithms for graph distance computation discussed previously in this book consider just a pair of graphs g and G, and derive their distance d(g, G). Our proposed extension consists in computing the distance d(s, S) of a pair of graph sequences s = g1, ..., gn and S = G1, ..., Gm. Both sequences can be of arbitrary length. In particular, the length of s can be different from the length of S. The normal graph distance is obtained as a special case of the proposed graph sequence distance if each s and S consists of only one graph. Similarly to any of the classical graph distance measures d(g, G), the proposed graph sequence distance d(s, S) will be equal to zero if s and S are the same, i.e., n = m and g i = Gi for i = 1, ..., n. On the other hand, d(s, S) will be large for two highly dissimilar sequences.

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© 2007 Birkhäuser Boston

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(2007). Matching Sequences of Graphs. In: A Graph-Theoretic Approach to Enterprise Network Dynamics. Progress in Computer Science and Applied Logic (PCS), vol 24. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4519-9_8

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  • DOI: https://doi.org/10.1007/978-0-8176-4519-9_8

  • Publisher Name: Birkhäuser Boston

  • Print ISBN: 978-0-8176-4485-7

  • Online ISBN: 978-0-8176-4519-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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