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
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
Journal title :
Computers & Industrial Engineering