Structural Patterns in Complex Systems: A network perspective

Christos Ellinas, Neil Allan, Anders F Johansson

Research output: Contribution to conferenceConference Paper

Abstract

Our desire to deliver increased functionality while setting tighter operational and regulative boundaries has fueled a
recent influx of highly-coupled systems. Alas, our current capacity to successfully deliver them is, evidently, still in its
infancy [1-5]. Understanding how such systems are structured, along with how they compare with their natural counterparts,
can play an important role in bettering our capacity to do so. The following article will be grounded upon the principles of network
science in order to contrast such naturally evolved systems with systems that we purposefully engineer. Assuming that the
underlying structural variety of such systems fuels design uncertainty, and by adopting an evidence-based methodology,
systems of the latter class will be compared in terms of their adherence to statistical normality.
Original languageEnglish
Publication statusPublished - 2014

Keywords

  • COMPLEX NETWORKS
  • RISK
  • Project Management
  • Statistical analysis

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