rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    non sort: A
    title: Graph-Theoretic Approach to Enterprise Network Dynamics
  name:
    name part: Bunke, Horst.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Dickinson, Peter J.
    role:
      role term: author.
  name:
    name part: Kraetzl, Miro.
    role:
      role term: author.
  name:
    name part: Wallis, Walter D.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 226 p. 110 illus. online resource.
  abstract: Networks have become nearly ubiquitous and increasingly complex, and their support of modern enterprise environments has become fundamental. Accordingly, robust network management techniques are essential to ensure optimal performance of these networks. This monograph treats the application of numerous graph-theoretic algorithms to a comprehensive analysis of dynamic enterprise networks. Network dynamics analysis yields valuable information about network performance, efficiency, fault prediction, cost optimization, indicators and warnings. The exposition is organized into four relatively independent parts: an introduction and overview of typical enterprise networks and the graph theoretical prerequisites for all algorithms introduced later; an in-depth treatise of usage of various graph distances for event detection; a detailed exploration of properties of underlying graphs with modeling applications; and a theoretical and applied treatment of network behavior inferencing and forecasting using sequences of graphs. Based on many years of applied research on generic network dynamics, this work covers a number of elegant applications (including many new and experimental results) of traditional graph theory algorithms and techniques to computationally tractable network dynamics analysis to motivate network analysts, practitioners and researchers alike. The material is also suitable for graduate courses addressing state-of-the-art applications of graph theory in analysis of dynamic communication networks, dynamic databasing, and knowledge management.
  table of contents: 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.
  note: by Horst Bunke, Peter J. Dickinson, Miro Kraetzl, Walter D. Wallis.
  subject:
    topic: Computer science
  subject:
    topic: Computer organization
  subject:
    topic: Computer system failures
  subject:
    topic: Algorithms
  subject:
    topic: Mathematical statistics
  subject:
    topic: Computer science
    topic: Mathematics
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Computer Science
  subject:
    topic: Computer Systems Organization and Communication Networks
  subject:
    topic: System Performance and Evaluation
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Applications of Mathematics
  subject:
    topic: Math Applications in Computer Science
  subject:
    topic: Probability and Statistics in Computer Science
  classification: QA76.9.C643
  classification: TK5105.5-5105.9
  classification: 004.6
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Progress in Computer Science and Applied Logic (PCS) ; 24
  identifier: 9780817645199
  identifier: http://dx.doi.org/10.1007/978-0-8176-4519-9
  record info:
    record creation date: 100301
    record change date: 20151204142435.0
    record identifier: 978-0-8176-4519-9