NETWORK INFERENCE from COMPLEX SYSTEMS STEADY STATES OBSERVATIONS: THEORY and METHODS

Hoi To Wai, Anna Scaglione, Baruch Barzel, Amir Leshem

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

Abstract

This paper presents new results on network inference from observations of steady state behaviors emerging from perturbations of complex networks dynamics. We focus on the estimation of network and flow parameters using a general regularized inference formulation, which is tackled numerically using the standard technique of alternating optimization. We argue that relying only on the steady states equations removes the requirement of precisely recording transient data, and allows to meaningfully combine data from multiple experiments. To provide theoretical benchmarks we study the relationship between topological and functional characteristics of the system and the divergence between the steady state behavior observed, to give rigorous performance benchmarks. Numerical results are presented on examples with social networks and gene regulatory networks to justify our claims.

Original languageEnglish (US)
Title of host publication2018 IEEE Data Science Workshop, DSW 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages155-159
Number of pages5
ISBN (Print)9781538644102
DOIs
StatePublished - Aug 17 2018
Event2018 IEEE Data Science Workshop, DSW 2018 - Lausanne, Switzerland
Duration: Jun 4 2018Jun 6 2018

Publication series

Name2018 IEEE Data Science Workshop, DSW 2018 - Proceedings

Other

Other2018 IEEE Data Science Workshop, DSW 2018
CountrySwitzerland
CityLausanne
Period6/4/186/6/18

Keywords

  • complex network systems
  • gene networks
  • network identifiability
  • network inference
  • social networks

ASJC Scopus subject areas

  • Artificial Intelligence
  • Safety, Risk, Reliability and Quality
  • Water Science and Technology
  • Control and Optimization

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    Wai, H. T., Scaglione, A., Barzel, B., & Leshem, A. (2018). NETWORK INFERENCE from COMPLEX SYSTEMS STEADY STATES OBSERVATIONS: THEORY and METHODS. In 2018 IEEE Data Science Workshop, DSW 2018 - Proceedings (pp. 155-159). [8439896] (2018 IEEE Data Science Workshop, DSW 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DSW.2018.8439896