eprintid: 2114
rev_number: 6
eprint_status: archive
userid: 6
dir: disk0/00/00/21/14
datestamp: 2014-01-23 09:29:16
lastmod: 2014-01-23 09:29:16
status_changed: 2014-01-23 09:29:16
type: book_section
metadata_visibility: show
creators_name: Amblard, Frederic
creators_name: Quattrociocchi, Walter
creators_id: 
creators_id: walter.quattrociocchi@imtlucca.it
title: Social networks and spatial distribution
ispublished: pub
subjects: QA75
divisions: CSA
full_text_status: none
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


abstract: 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.
date: 2013
series: Understanding Complex Systems
publisher: Springer 
pagerange: 401-430
id_number: 10.1007/978-3-540-93813-2_16
refereed: TRUE
isbn: 978-3-540-93813-2
book_title: Simulating social complexity: a handbook
official_url: http://dx.doi.org/10.1007/978-3-540-93813-2_16
citation:   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)