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
Link To Document