Representing Dynamic Social Networks in Discrete Event Social Simulation

Abstract

One of the key structural components of social systems is the social network. The representation of this network structure is key to providing a valid representation of the society under study. The social science concept of homophily provides a conceptual model of how social networks are formed and evolve over time. Previous work described the results of social simulation using a static homophily network. But to gain the full benefit of modeling societies a representation of how the social network changes over time is required. This paper introduces the implementation of a dynamic homophily network. It also presents a case study that explores the sensitivity of model outputs to the parameters describing the network, and applies social network change detection methods (SNCD) to model output.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2010
Accession Number
ADA554314

Entities

People

  • Jonathan K. Alt
  • Stephen Lieberman

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Adaptive Systems
  • Case Studies
  • Center Of Gravity
  • Change Detection
  • Civilian Population
  • Complex Adaptive Systems
  • Detection
  • Education
  • Experimental Design
  • Public Policy
  • Simulations
  • Social Networks
  • Social Sciences
  • Societies
  • Sociology
  • Surveys
  • United States Military Academy

Fields of Study

  • Computer science

Readers

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