Generation of Realistic Social Network Datasets for Testing of Analysis and Simulation Tools

Abstract

Testing large-scale dynamic network simulation packages, such as NetWatch, requires a large quantity of test data to be available for each of the experiments. The test data includes initial topologies of agents' social networks and specification of knowledge networks for each of the agents to fit an empirically derived distribution of knowledge. Testing the software on machine-generated data, as opposed to empirical data only, allows the user to conduct repeatable tests that stress certain aspects of the software and help in debugging and optimization of software performance.

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Document Details

Document Type
Technical Report
Publication Date
Sep 26, 2005
Accession Number
ADA456066

Entities

People

  • Kathleen Carley
  • Maksim Tsvetovat

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Cellular Networks
  • Computational Complexity
  • Computer Science
  • Demographic Cohorts
  • Doctrine
  • Information Systems
  • Measurement
  • Network Topology
  • Networks
  • Organizational Structure
  • Simulations
  • Social Networks
  • Software Development
  • Software Testing
  • Terrorism
  • Topology

Fields of Study

  • Computer science
  • Engineering

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Modeling and Simulation
  • Software Engineering.