Several classical system dynamics models, such as models of disease spread, and technology adoption, are built under assumption of a homogeneous population. These assumptions have been recently challenged by recent results showing that the degree distributions of many social and natural networks, such as the so-called scale-free networks, exhibit long-tailed degree distributions. This paper adopts a system dynamics approach to replicate preferential attachment, one of the network dynamics mechanisms known to produce power-scale distributions. We then study the diffusion processes on these networks, e.g. epidemics, product adoptions. We consider a basic compartment model (Susceptible- Infected) and apply scale free network topology in place of the random network topology that is traditionally assumed. The resulting model is used to assess the effect of the topology on the diffusion of attributes throughout the network.

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Date created

• 2007 July 29-2007 August 2

Type

• Document

Processing Activity

• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

License

• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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ITEM CONTEXT

Part of

298eed5a7fe199ac661be72f3a39f134

Scope and Contents

Part of

0619e689ce89476bfd3b88323c5a9410

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Part of

23d738ba88f8333bc39725f9cb5bd0b8

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Collection

System Dynamic Society Records

Scope and Contents

Collecting area

• This collection is part of the University Archives