Analysis of a Voting Method for Ranking Network Centrally Measures on a Node-Aligned Multiplex Network

Abstract

Identifying relevant actors using information gleaned from multiple networks is a key goal within the context of human aspects of military operations. The application of a voting theory methodology for determining nodes of critical importance in ranked order of importance for a node-aligned multiplex network is demonstrated. Both statistical and qualitative analyses on the differences of ranking outcomes under this methodology is provided. As a corollary, a multilayer network reduction algorithm is investigated within the context of the proposed ranking methodology. The application of the methodology detailed in this thesis will allow meaningful rankings of relevant actors to be produced on a multiplex network.

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Document Details

Document Type
Technical Report
Publication Date
Mar 23, 2018
Accession Number
AD1056433

Entities

People

  • Kyle S. Wilkinson

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computational Science
  • Computer Networks
  • Graph Theory
  • Information Operations
  • Information Science
  • Literature Surveys
  • Mathematical Models
  • Mathematics
  • Military Operations
  • Network Science
  • Operations Research
  • Social Media
  • Social Networks
  • Statistical Analysis
  • United States

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Molecular Genetics
  • Systems Analysis and Design