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:
    title: Models, Algorithms and Technologies for Network Analysis
    sub title: From the Third International Conference on Network Analysis
  name:
    name part: Batsyn, Mikhail V.
    role:
      role term: editor.
  name:
    name part: Kalyagin, Valery A.
    role:
      role term: editor.
  name:
    name part: Pardalos, Panos M.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 139 p. 41 illus., 23 illus. in color. online resource.
  abstract: This volume compiles the major results of conference participants from the "Third International Conference in Network Analysis" held at the Higher School of Economics, Nizhny Novgorod in May 2013, with the aim to initiate further joint research among different groups. The contributions in this book cover a broad range of topics relevant to the theory and practice of network analysis, including the reliability of complex networks, software, theory, methodology, and applications. Network analysis has become a major research topic over the last several years. The broad range of applications that can be described and analyzed by means of a network has brought together researchers, practitioners from numerous fields such as operations research, computer science, transportation, energy, biomedicine, computational neuroscience and social sciences. In addition, new approaches and computer environments such as parallel computing, grid computing, cloud computing, and quantum computing have helped to solve large scale network optimization problems.
  table of contents: A method of static and dynamic pattern analysis of innovative development of Russian regions in the long run -- Using mathematical programming to refine heuristic solutions for network clustering -- Market graph construction using the performance measure of similarity -- How independent are stocks in an independent set of a market graph -- Analysis of Russian industries in the stock market -- A particle swarm optimization algorithm for the multicast routing problem -- König graphs for 4-paths -- A hybrid metaheuristic for routing on multicast networks -- Possible ways of applying citations network analysis to a scientific writing assistant -- Bounding fronts in multi-objective combinatorial optimization with application to aesthetic drawing of business process diagrams.
  note: edited by Mikhail V. Batsyn, Valery A. Kalyagin, Panos M. Pardalos.
  subject:
    topic: Mathematics
  subject:
    topic: Mathematical analysis
  subject:
    topic: Analysis (Mathematics)
  subject:
    topic: Computer mathematics
  subject:
    topic: Computer software
  subject:
    topic: Mathematical models
  subject:
    topic: Mathematical optimization
  subject:
    topic: Physics
  subject:
    topic: Mathematics
  subject:
    topic: Optimization
  subject:
    topic: Complex Networks
  subject:
    topic: Analysis
  subject:
    topic: Computational Mathematics and Numerical Analysis
  subject:
    topic: Mathematical Software
  subject:
    topic: Mathematical Modeling and Industrial Mathematics
  classification: QA402.5-402.6
  classification: 519.6
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Proceedings in Mathematics & Statistics, 104
  identifier: 9783319097589
  identifier: http://dx.doi.org/10.1007/978-3-319-09758-9
  record info:
    record creation date: 141029
    record change date: 20151103123242.0
    record identifier: 978-3-319-09758-9