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Can System Dynamics Learn from Social Network Analysis?


Schönenberger, Lukas; Schenker-Wicki, Andrea (2015). Can System Dynamics Learn from Social Network Analysis? UZH Business Working Paper Series 349, University of Zurich.

Abstract

This article deals with the analysis of large or complex system dynamics (SD) models, exploring the benefits of a multimethodological approach to model analysis. We compare model analysis results from SD and social network analysis (SNA) by deploying SNA techniques on a pertinent example from the SD literature—the world dynamics model. Although SNA is a clearly distinct method from SD in that it focuses on social actors and their interrelationships, we contend that SD can indeed learn from SNA, particularly in terms of model structure analysis. Our argumentation follows renowned system dynamicists who acknowledge the potential of SD to synthesize and advance theories in social science at both the conceptual and technical levels.

Abstract

This article deals with the analysis of large or complex system dynamics (SD) models, exploring the benefits of a multimethodological approach to model analysis. We compare model analysis results from SD and social network analysis (SNA) by deploying SNA techniques on a pertinent example from the SD literature—the world dynamics model. Although SNA is a clearly distinct method from SD in that it focuses on social actors and their interrelationships, we contend that SD can indeed learn from SNA, particularly in terms of model structure analysis. Our argumentation follows renowned system dynamicists who acknowledge the potential of SD to synthesize and advance theories in social science at both the conceptual and technical levels.

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Additional indexing

Item Type:Working Paper
Communities & Collections:03 Faculty of Economics > Department of Business Administration
Dewey Decimal Classification:330 Economics
Uncontrolled Keywords:Social network analysis, centrality, mixing methods, model structure analysis, large models
Language:English
Date:26 January 2015
Deposited On:09 Aug 2019 14:26
Last Modified:26 Jan 2022 22:16
Series Name:UZH Business Working Paper Series
Number of Pages:26
ISSN:2296-0422
OA Status:Green
Publisher DOI:https://doi.org/10.2139/ssrn.2550593
Official URL:https://www.business.uzh.ch/de/research/wps.html
Other Identification Number:merlin-id:18194
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 1.0 Generic (CC BY 1.0)