Identifying Key Actors in Heterogeneous Networks

Abstract

The specific aim of Identifying Key Actors in Heterogeneous Networks (W911NF-17-0009) was to advance and reconcile the formal representations of social relations and coalition formation from social network analysis (SNA) and game theory (GT) to improve accuracy for detecting significant or powerful actors within a total actor space when both resource and structural constraints must be taken into account. This project produced a new analytical capability forged by integrating the structural constraints that can be modeled by SNA with the assessment of factors contributing to collaborative coalitions modeled by cooperative game theory (CGT). Our premise was that many critical strategic and tactical situations of interest to the Department of Defense (DOD) present social situations that are outside the scope and violate the assumptions of these existing social science models.

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Document Details

Document Type
Technical Report
Publication Date
Nov 29, 2017
Accession Number
AD1051323

Entities

People

  • Elisa Jayne Bienenstock

Organizations

  • Arizona State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Cooperative Games
  • Department Of Defense
  • Game Theory
  • Heterogeneous Networks
  • Mathematical Models
  • Models
  • Networks
  • Numbers
  • Recreation
  • Social Networks
  • Social Sciences
  • Sociology
  • Standards
  • Structural Properties
  • Technology Transfer

Readers

  • East Asian Political and Security Studies within the Soviet Union
  • Neural Network Machine Learning.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Space