Community Detection In Networks A User Guide

• Contents
• I Introduction
• II What are communities?
  • A Variables
  • B Classic view
  • C Modern view
• III Validation
  • A Artificial benchmarks
  • B Partition similarity measures
  • C Detectability
  • D Structure versus metadata
  • E Community structure in real networks
• IV Methods
  • A How many clusters?
  • B Consensus clustering
  • C Spectral methods
  • D Overlapping communities: Vertex or Edge clustering?
  • E Methods based on statistical inference
  • F Methods based on optimisation
  • G Methods based on dynamics
  • H Dynamic clustering
  • I Significance
  • J Which method then?
• V Software
• VI Outlook
• Acknowledgments
• References