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2011/12/26

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Modelling dynamical processes in complex socio-technical systems, Nature
Physics
 









Abstract: In recent years the increasing availability of computer power and
informatics tools has enabled the gathering of reliable data quantifying the
complexity of socio-technical systems. Data-driven computational models have
emerged as appropriate tools to tackle the study of dynamical phenomena as
diverse as epidemic outbreaks, information spreading and Internet packet
routing. These models aim at providing a rationale for understanding the
emerging tipping points and nonlinear properties that often underpin the most
interesting characteristics of socio-technical systems. Here, using diffusion
and contagion phenomena as prototypical examples, we review some of the recent
progress in modelling dynamical processes that integrates the complex features
and heterogeneities of real-world systems.
Source: Modelling dynamical processes in complex socio-technical systems[
http://dx.doi.org/10.1038/nphys2160 ], Alessandro Vespignani, DOI:
10.1038/nphys2160, Nature Physics 8, 32â€"39, 2011/12/22

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