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Virginia Tech

Dynamic Behavior Visualizer: A Dynamic Visual Analytics Framework for Understanding Complex Networked Models

Abstract

dc:description.abstract

Dynamic Behavior Visualizer (DBV) is a visual analytics environment to visualize the spatial and temporal movements and behavioral changes of an individual or a group, e.g. family within a realistic urban environment. DBV is specifically designed to visualize the adaptive behavioral changes, as they pertain to the interactions with multiple inter-dependent infrastructures, in the aftermath of a large crisis, e.g. hurricane or the detonation of an improvised nuclear device. DBV is web-enabled and thus is easily accessible to any user with access to a web browser. A novel aspect of the system is its scale and fidelity. The goal of DBV is to synthesize information and derive insight from it; detect the expected and discover the unexpected; provide timely and easily understandable assessment and the ability to piece together all this information.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Computer Science and Applications
Department dc:contributor.department
Computer Science
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Maloo, Akshay
Chair dc:contributor.committeechair
  • Marathe, Madhav Vishnu
Committee members dc:contributor.committeemember
  • Eubank, Stephen G.
  • Vullikanti, Anil Kumar S.
  • Xie, Dawen

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:2003
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/25296

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Maloo, Akshay. Dynamic Behavior Visualizer: A Dynamic Visual Analytics Framework for Understanding Complex Networked Models. masters thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/25296