• Title of article

    Network Elucidation Template: A framework for human-guided network inference q

  • Author/Authors

    Leo Lopes a، نويسنده , , *، نويسنده , , Jay Konieczka b، نويسنده , , Victor Foulk c، نويسنده , , Parker Antin d، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2010
  • Pages
    11
  • From page
    680
  • To page
    690
  • Abstract
    Network elucidation is the problem of inferring all parameters of a network from a subset of those parameters. We introduce the Network Elucidation Template (NET), which provides a framework upon which algorithms for such problems can be built. NET algorithms take advantage of novel methods for collaboration between human operators and computers. They use visualizations of the peculiar structures that appear in optimal solutions to aid the parameter search. By design, NET is at a high enough level of abstraction to describe a class of algorithms, as opposed to a single algorithm. Given a problem, and the structure of that problem, an effective instantiation of the template into an algorithm can be created. We describe one such instantiation: using a network flow framework to implement a NET algorithm for uncovering smuggling networks; as well as the general template.
  • Keywords
    Visualization , Human-guided search , Optimization
  • Journal title
    Computers & Industrial Engineering
  • Serial Year
    2010
  • Journal title
    Computers & Industrial Engineering
  • Record number

    925890