Heterogeneity and reduction for complex network dynamics

Yannis Kevrekidis, Carlo Laing, Alexander Holiday, Tom Bertalan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the study of dynamic, large-scale, complex networks, coarse-grained (reduced, low-dimensional) descriptions of the network can be useful not only in identifying significant network features, but also in enabling reduced, systems-level analysis of the evolution dynamics. Obtaining such a coarse-grained description for networks is a challenging problem. Additionally, the implementation of coarse-grained computational algorithms requires a systematic approach for translating low-dimensional network features to full-scale network realizations. We discuss recent advances, and experience with applications, in both these directions for complex network evolution.

Original languageEnglish (US)
Title of host publicationComputational Molecular Science and Engineering Forum 2014 - Core Programming Area at the 2014 AIChE Annual Meeting
PublisherAIChE
Pages234-235
Number of pages2
ISBN (Electronic)9781510812543
StatePublished - Jan 1 2014
EventComputational Molecular Science and Engineering Forum 2014 - Core Programming Area at the 2014 AIChE Annual Meeting - Atlanta, United States
Duration: Nov 16 2014Nov 21 2014

Publication series

NameComputational Molecular Science and Engineering Forum 2014 - Core Programming Area at the 2014 AIChE Annual Meeting

Other

OtherComputational Molecular Science and Engineering Forum 2014 - Core Programming Area at the 2014 AIChE Annual Meeting
CountryUnited States
CityAtlanta
Period11/16/1411/21/14

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Chemical Engineering(all)
  • Modeling and Simulation
  • Computer Science Applications

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  • Cite this

    Kevrekidis, Y., Laing, C., Holiday, A., & Bertalan, T. (2014). Heterogeneity and reduction for complex network dynamics. In Computational Molecular Science and Engineering Forum 2014 - Core Programming Area at the 2014 AIChE Annual Meeting (pp. 234-235). (Computational Molecular Science and Engineering Forum 2014 - Core Programming Area at the 2014 AIChE Annual Meeting). AIChE.