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• W42787434 abstract "ABSTRACT We focus on the social network component of social simulation models. As confronted to the choice of an in-teraction structure model, “Which ties to choose?” is a relevant question for the social modeller. We present dif-ferent models of social networks originated from different fields. After presenting a brief ontology about social net-works, we classify models into three main parts, the theo-retical models coming from physics and mathematics, the statistical models issued from sociology and agent-based models issued from economics, cognitive and computer sciences. The latter focus on a bottom-up approach for modelling social networks. 1 INTRODUCTION In agent-based simulations, the results depend on which interactions occur between which agents and on which order. Therefore both the choice of agent scheduling and chosen interaction structure (if any) matter (Axtell 2000). In some cases this structure is known a priori, for instance some collective decision-making models where the social network is determined from interviews (Stokman and Van Oosten 1994). Moreover, generally, this structure of the relationships is unknown. One must either determine it or test several hypotheses about its properties. In this paper, we focus on the bestiary of choices about models of inter-action structure. As the mean the chosen model influences the simulation outputs depends a lot on the interaction model between the agents, we won’t try to quantify or to qualify this effect. We simply propose a state of the art about models of networks developed in several fields, in order to help modellers to choose relevant models con-cerning their problematic, to test the so-called “social net-work” effect. As during the past, social modellers have got the habit to use the cellular automata formalism, the associ-ated interaction structure was most often a regular grid (Schelling 1971) and sometimes classical random graphs (Follmer 1974). But it yields always to use static struc-tures where social ties do not evolve during simulation. Nowadays, more and more models of social structure, either static or dynamic, have been developed in several fields. These models having different disciplinary origins, we will classify them in function of their original field. Then after introducing an ontology in a first paragraph, we present mathematical and physical theoretical models of networks in a second part. In a third one, we present the work coming from the sociological field. These models are in general statistical models and result from psycho-sociological theories. Finally, we focus on the bottom-up approach, originating from economics, cognitive sciences and computer sciences, aiming at finding individual rules of social networks generation and evolution." @default.
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• W42787434 title "Which ties to choose? A survey of social networks models for agent-based social simulations" @default.
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