I-Corps: CDnet: Community Detection in Large Networks

Abstract

The product we aim to bring to market is community detection service with superior performance. This product had roots in two DoD-funded basic research projects on community detection in large networks. We have thoroughly studied the structure and dynamics of communities and invented novel network community detection methods and a game-theoretic model of community evolution. The product has three main functions: (1) network community discovery and detection, 2) deep learning for network dynamics, and (3) a game-theoretic model of community evolution. This product has led to new insights into community structure of large networks, new theoretical models for understanding such structures and algorithms to harness them, and novel discoveries about connectivity structure of groups in networks. Such discoveries allow a company to explore its dynamics of network community structure and evolution. The product to be developed in this project is expected to result in a commercial service with significant revenue potential. The product will provide superior community detection service for a variety of social network enterprises.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 14, 2019
Source ID
W911NF1810437

Entities

People

  • Justin Zhan

Organizations

  • Army Contracting Command
  • Office of the Secretary of Defense
  • University of Nevada, Las Vegas

Tags

Fields of Study

  • Biology

Readers

  • Economics
  • Neural Network Machine Learning.
  • Research Science/Academic Research

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy