Longitudinal Dynamic Network Analysis. Using the Over Time Viewer Feature in ORA

Abstract

Analyzing network over time has become increasingly popular as longitudinal network data becomes more available. Longitudinal networks are studied by sociologists to understand network evolution, belief formation, friendship formation, diffusion of innovations, the spread of deviant behavior and more. Organizations are interested in studying longitudinal network in order to get inside the decision cycle of major events. Prior to important events occurring in an organization, there is likely to exist an earlier change in network dynamics. Being able to identify that a change in network dynamics has occurred can enable managers to respond to the change in network behavior prior to the event occurring and shape a favorable outcome. The Over Time Viewer is a software tool hosted by the CASOS software suite that enables the analysis of longitudinal dynamic network data. This report introduces the Over Time Viewer and provides instruction on how to effectively use its features. We provide step-by-step instructions and illustrations as well as a description of the technology underlying the tool.

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Document Details

Document Type
Technical Report
Publication Date
Mar 09, 2009
Accession Number
ADA528413

Entities

People

  • Ian Mcculloh
  • Kathleen Carley

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Change Detection
  • Computer Science
  • Computers
  • Data Science
  • Detection
  • Electronic Mail
  • Frequency Domain
  • Information Science
  • Military Research
  • Network Science
  • Predictive Modeling
  • Social Networks
  • Social Sciences
  • Sociology
  • Statistical Analysis
  • Statistical Processes
  • Stochastic Processes

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Database Systems and Applications
  • Economics