Using social network analysis to quantify interoperability in a large system of systems

James R. Enos, Roshanak Nilchiani

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

The Department of Defense (DoD) manages a large, complex system of systems that must operate together on the battlefield to deliver value. However, it is difficult to understand the network wide impacts of changes to the system of systems. The DoD has had difficulty managing this system of systems due to the scale and complexity of the network and traditional systems engineering tools do not provide necessary insights for DoD decision makers. This paper proposes applying social network analysis to understand the interoperability associated with the DoD system of systems. It applies several centrality metrics to a network of Major Defense Acquisition Programs (MDAPs) to quantify the interoperability of individual systems within the system of systems. Specifically, it examines the differences between the degree, closeness, and eigenvector centrality metrics to identify which metric best represents the interoperability of individual systems.

Original languageEnglish
Title of host publication2017 12th System of Systems Engineering Conference, SoSE 2017
ISBN (Electronic)9781509059454
DOIs
StatePublished - 27 Jul 2017
Event12th System of Systems Engineering Conference, SoSE 2017 - Waikoloa, United States
Duration: 18 Jun 201721 Jun 2017

Publication series

Name2017 12th System of Systems Engineering Conference, SoSE 2017

Conference

Conference12th System of Systems Engineering Conference, SoSE 2017
Country/TerritoryUnited States
CityWaikoloa
Period18/06/1721/06/17

Keywords

  • interoperability
  • social network analysis
  • system of systems engineering

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