Theories and simulations of complex social systems / Vahid Dabbaghian, Vijay Kumar Mago, editors.

  • Heidelberg : Springer 2014
Physical description
1 online resource (x, 204 pages) : illustrations
  • 9783642391491
  • 3642391494
  • 130620125X
  • 9781306201254
Local notes
  • Includes bibliographical references.
  • Introducing Theories and Simulations of Complex Social Systems / Vahid Dabbaghian and Vijay Kumar Mago -- Software Solutions for Computational Modelling in the Social Sciences / Piper J. Jackson -- Modelling Epistemic Systems / André C.R. Martins -- Modeling Humain Behavior in Space and Time Using Mobile Phone Data / Ana-Maria Olteanu Raimond and Thomas Couronné -- Change Detection in Dynamic Political Networks: The Case of Sudan / Laurent Tambayong -- High-Level Simulation Model of a Criminal Justice System / V. Dabbaghian, P. Jula, P. Borwein, E. Fowler, C. Giles, N. Richardson [and 2 others] -- Celerity in the Courts: The Application of Fuzzy Logic to Model Case Complexity of Criminal Justice Systems / Andrew A. Reid and Richard Frank -- Understanding the Impact of Face Mask Usage Through Epidemic Simulation of Large Social Networks / Susan M. Mniszewski, Sara Y. Del Valle, Reid Priedhorsky, James M. Hyman and Kyle S. Hickman -- e-Epidemic Models on the Attack and Defense of Malicious Objects in Networks / Bimal Kumar Mishra and Kaushik Haldar -- Modelling the Joint Effect of Social Determinants and Peers on Obesity Among Canadian Adults / Philippe J. Giabbanelli, Piper J. Jackson and Diane T. Finegood -- Youth Gang Formation: Basic Instinct or Something Else? / Hilary K. Morden, Vijay K. Mago, Ruby Deol, Sara Namazi, Suzanne Wuolle and Vahid Dabbaghian -- Optimising an Agent-Based Model to Explore the Behaviour of Simulated Burglars / Nick Malleson, Linda See, Andrew Evans and Alison Heppenstall.
Other names
  • Bibliography
  • Illustrated
  • text
  • English
  • Research into social systems is challenging due to their complex nature. Traditional methods of analysis are often difficult to apply effectively as theories evolve over time. This can be due to a lack of appropriate data, or too much uncertainty. It can also be the result of problems which are not yet understood well enough in the general sense so that they can be classified, and an appropriate solution quickly identified. Simulation is one tool that deals well with these challenges, fits in well with the deductive process, and is useful for testing theory. This field is still relatively new, and much of the work is necessarily innovative, although it builds upon a rich and varied foundation. There are a number of existing modelling paradigms being applied to complex social systems research. Additionally, new methods and measures are being devised through the process of conducting research. We expect that readers will enjoy the collection of high quality research works from new and accomplished researchers.

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