Using graph concepts to understand the organization of complex systems

Claire Christensen, Réka Albert

Research output: Contribution to journalReview article

30 Scopus citations

Abstract

Complex networks are universal, arising in fields as disparate as sociology, physics and biology. In the past decade, extensive research into the properties and behaviors of complex systems has uncovered surprising commonalities among the topologies of different systems. Attempts to explain these similarities have led to the ongoing development and refinement of network models and graph-theoretical analysis techniques with which to characterize and understand complexity. In this tutorial, we demonstrate through illustrative examples, how network measures and models have contributed to the elucidation of the organization of complex systems.

Original languageEnglish (US)
Pages (from-to)2201-2214
Number of pages14
JournalInternational Journal of Bifurcation and Chaos
Volume17
Issue number7
DOIs
StatePublished - Jul 2007

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All Science Journal Classification (ASJC) codes

  • Modeling and Simulation
  • Engineering (miscellaneous)
  • General
  • Applied Mathematics

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