Amblard, Frederic and Quattrociocchi, Walter Social networks and spatial distribution. In: Simulating social complexity: a handbook. Understanding Complex Systems . Springer , pp. 401-430. ISBN 978-3-540-93813-2 (2013)Full text not available from this repository.
In most agent-based social simulation models, the issue of the organisation of the agents’ population matters. The topology, in which agents interact, – be it spatially structured or a social network – can have important impacts on the obtained results in social simulation. Unfortunately, the necessary data about the target system is often lacking, therefore you have to use models in order to reproduce realistic spatial distributions of the population and/or realistic social networks among the agents. In this chapter we identify the main issues concerning this point and describe several models of social networks or of spatial distribution that can be integrated in agent-based simulation to go a step forward from the use of a purely random model. In each case we identify several output measures that allow quantifying their impacts.
|Item Type:||Book Section|
|Uncontrolled Keywords:||Topics: Computer Appl. in Social and Behavioral Sciences; Social Sciences, general; Statistical Physics, Dynamical Systems and Complexity; Behavioural Sciences; Game Theory, Economics, Social and Behav. Sciences; Computing methodologies|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Research Area:||Computer Science and Applications|
|Depositing User:||Ms T. Iannizzi|
|Date Deposited:||23 Jan 2014 09:29|
|Last Modified:||23 Jan 2014 09:29|
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