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Title: Network algorithms for information analysis using the Titan Toolkit.

Abstract

The analysis of networked activities is dramatically more challenging than many traditional kinds of analysis. A network is defined by a set of entities (people, organizations, banks, computers, etc.) linked by various types of relationships. These entities and relationships are often uninteresting alone, and only become significant in aggregate. The analysis and visualization of these networks is one of the driving factors behind the creation of the Titan Toolkit. Given the broad set of problem domains and the wide ranging databases in use by the information analysis community, the Titan Toolkit's flexible, component based pipeline provides an excellent platform for constructing specific combinations of network algorithms and visualizations.

Authors:
;  [1]; ; ;
  1. (Kitware Inc., Clifton Park, NY)
Publication Date:
Research Org.:
Sandia National Laboratories
Sponsoring Org.:
USDOE
OSTI Identifier:
1021569
Report Number(s):
SAND2010-5060C
TRN: US201117%%164
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Proposed for presentation at the IEEE International Carnahan Conference on Security Technology (ICCST) held October 5-8, 2010 in San Jose, CA.
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ALGORITHMS; COMPUTERS; PIPELINES; SECURITY

Citation Formats

McLendon, William Clarence, III, Baumes, Jeffrey, Wilson, Andrew T., Wylie, Brian Neil, and Shead, Timothy M.. Network algorithms for information analysis using the Titan Toolkit.. United States: N. p., 2010. Web.
McLendon, William Clarence, III, Baumes, Jeffrey, Wilson, Andrew T., Wylie, Brian Neil, & Shead, Timothy M.. Network algorithms for information analysis using the Titan Toolkit.. United States.
McLendon, William Clarence, III, Baumes, Jeffrey, Wilson, Andrew T., Wylie, Brian Neil, and Shead, Timothy M.. Thu . "Network algorithms for information analysis using the Titan Toolkit.". United States. doi:.
@article{osti_1021569,
title = {Network algorithms for information analysis using the Titan Toolkit.},
author = {McLendon, William Clarence, III and Baumes, Jeffrey and Wilson, Andrew T. and Wylie, Brian Neil and Shead, Timothy M.},
abstractNote = {The analysis of networked activities is dramatically more challenging than many traditional kinds of analysis. A network is defined by a set of entities (people, organizations, banks, computers, etc.) linked by various types of relationships. These entities and relationships are often uninteresting alone, and only become significant in aggregate. The analysis and visualization of these networks is one of the driving factors behind the creation of the Titan Toolkit. Given the broad set of problem domains and the wide ranging databases in use by the information analysis community, the Titan Toolkit's flexible, component based pipeline provides an excellent platform for constructing specific combinations of network algorithms and visualizations.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jul 01 00:00:00 EDT 2010},
month = {Thu Jul 01 00:00:00 EDT 2010}
}

Conference:
Other availability
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