Heterogeneity and reduction for complex network dynamics

Ioannis G. 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 publicationComputing and Systems Technology Division 2014 - Core Programming Area at the 2014 AIChE Annual Meeting
PublisherAIChE
Pages871-872
Number of pages2
ISBN (Electronic)9781510812550
StatePublished - 2014
Externally publishedYes
EventComputing and Systems Technology Division 2014 - Core Programming Area at the 2014 AIChE Annual Meeting - Atlanta, United States
Duration: Nov 16 2014Nov 21 2014

Publication series

NameComputing and Systems Technology Division 2014 - Core Programming Area at the 2014 AIChE Annual Meeting
Volume2

Conference

ConferenceComputing and Systems Technology Division 2014 - Core Programming Area at the 2014 AIChE Annual Meeting
Country/TerritoryUnited States
CityAtlanta
Period11/16/1411/21/14

ASJC Scopus subject areas

  • General Computer Science
  • Control and Systems Engineering

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