High Performance Computing Methods for Inference State Assessment and Course of Action Analysis in Large Socio-Technical Networks

Abstract

This is the final report for this project which has a budget closing date of July 14, 2012. In this report we have included results from earlier years to present and overview of all the research conducted. Here we have highlighted results and extensions that were developed in the final reporting period. A central theme in our work under this project has been to investigate the role of details in synthesis and analysis of complex social networks.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2018
Accession Number
AD1059380

Entities

People

  • Christopher Barrett
  • Madhav Marathe
  • Stephen Eubank

Organizations

  • Virginia Bioinformatics Institute

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Cyber
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Agent-Based Simulations
  • Artificial Intelligence
  • Communication Networks
  • Computational Science
  • Department Of Defense
  • Disease Outbreaks
  • Geography
  • High Performance Computing
  • Infectious Diseases
  • Medical Personnel
  • Mobile Phones
  • Network Science
  • Probability
  • Social Networks
  • Social Sciences
  • Students
  • Supervised Machine Learning

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Neural Network Machine Learning.
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML