A Motif-Based Approach to Network Epidemics

Thomas House*, Geoffrey Davies, Leon Danon, Matt J. Keeling

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

36 Citations (Scopus)

Abstract

Networks have become an indispensable tool in modelling infectious diseases, with the structure of epidemiologically relevant contacts known to affect both the dynamics of the infection process and the efficacy of intervention strategies. One of the key reasons for this is the presence of clustering in contact networks, which is typically analysed in terms of prevalence of triangles in the network. We present a more general approach, based on the prevalence of different four-motifs, in the context of ODE approximations to network dynamics. This is shown to outperform existing models for a range of small world networks.

Original languageEnglish
Pages (from-to)1693-1706
Number of pages14
JournalBulletin of Mathematical Biology
Volume71
Issue number7
DOIs
Publication statusPublished - Oct 2009

Keywords

  • Epidemiology
  • Infections disease
  • Modelling
  • Motifs
  • Networks
  • Pair approximation
  • Triple approximation

Fingerprint Dive into the research topics of 'A Motif-Based Approach to Network Epidemics'. Together they form a unique fingerprint.

Cite this