OraGIS and Loom: Spatial and Temporal Extensions to the ORA Analysis Platform

Abstract

Increasingly, data available to network analysts includes not only relationships between actors but measurements of entity attributes and relations through time and space. Integrating this information with existing dynamic network analysis techniques demands new models and tools. This paper introduces two extensions to the ORA dynamic network analysis platform intended to meet this need. The first, OraGIS, provides geospatial visualization and clustering algorithms. The second, Loom, assists in the analysis of agent movements through a discrete state space "such as a set of named locations" over time. We discuss the capabilities of both tools and their integration with the traditional analytics in the ORA platform.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2008
Accession Number
ADA486288

Entities

People

  • George B. Davis
  • Jamie Olson
  • Kathleen Carley

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Clustering
  • Computer Science
  • Data Visualization
  • Graphical User Interface
  • Information Operations
  • Language
  • Latitude
  • Longitude
  • Markup Languages
  • Mathematics
  • Platforms
  • Shipping
  • Ships
  • Social Networks
  • Transitions
  • User Interface
  • Visualizations

Fields of Study

  • Computer science

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • Space