Date of Award
3-23-2018
Document Type
Thesis
Degree Name
Master of Science in Operations Research
Department
Department of Operational Sciences
First Advisor
Richard F. Deckro, PhD.
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.
AFIT Designator
AFIT-ENS-MS-18-M-170
DTIC Accession Number
AD1056433
Recommended Citation
Wilkinson, Kyle S., "Analysis of a Voting Method for Ranking Network Centrality Measures on a Node-aligned Multiplex Network" (2018). Theses and Dissertations. 1867.
https://scholar.afit.edu/etd/1867