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A Graph-Theoretic Approach to Enterprise Network Dynamics

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.12.2006

Abbildungen

XIV, 110 illus., schwarz-weiss Illustrationen

Verlag

Birkhäuser Boston

Seitenzahl

226

Maße (L/B/H)

24,3/16,2/2 cm

Gewicht

458 g

Auflage

2007 edition

Sprache

Englisch

ISBN

978-0-8176-4485-7

Beschreibung

Rezension

From the reviews:



"This book introduces various graph theory topics, and shows how these concepts can be used to solve some of the real problems that arise in these five functional areas. … It is more suitable for research professors working with data networks, graduate students in the subject, or advanced undergrads in discrete mathematics." (G. M. White, Computing Reviews, Vol. 50 (1), January, 2009)


"This monograph focusses on the dynamic nature of networks. It provides guidance in answering questions concerning the detection and identification of faults … . Most mathematicians will appreciate the applications … and at the same time find numerous open problems in mathematics suggested by the needs of dynamic network modelling. … The monograph should prove interesting not only to network managers, but also to mathematicians in a variety of fields. … it provides a good starting point for the underlying mathematics." (Charles J. Colbourn, Zentralblatt MATH, Vol. 1157, 2009)

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

01.12.2006

Abbildungen

XIV, 110 illus., schwarz-weiss Illustrationen

Verlag

Birkhäuser Boston

Seitenzahl

226

Maße (L/B/H)

24,3/16,2/2 cm

Gewicht

458 g

Auflage

2007 edition

Sprache

Englisch

ISBN

978-0-8176-4485-7

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: A Graph-Theoretic Approach to Enterprise Network Dynamics
  • Produktbild: A Graph-Theoretic Approach to Enterprise Network Dynamics
  • Intranets and Network Management.- Graph-Theoretic Concepts.- Event Detection Using Graph Distance.- Matching Graphs with Unique Node Labels.- Graph Similarity Measures for Abnormal Change Detection.- Median Graphs for Abnormal Change Detection.- Graph Clustering for Abnormal Change Detection.- Graph Distance Measures based on Intragraph Clustering and Cluster Distance.- Matching Sequences of Graphs.- Properties of the Underlying Graphs.- Distances, Clustering, and Small Worlds.- Tournament Scoring.- Prediction and Advanced Distance Measures.- Recovery of Missing Information in Graph Sequences.- Matching Hierarchical Graphs.