Community Structure In Social And Biological Networks.pdf

girvan-newman.pdf
Preview of Community structure in social and biological networks
🔗 Source: hajim.rochester.edu
📊 Size: 349 KB
📄 Pages: 6 pages
⬇️ Downloads: 72

Summary

Researchers Girvan and Newman discuss community structure in social and biological networks, proposing a method to detect communities using centrality indices to find community boundaries. They test the method on known graphs and apply it to unknown networks, including a collaboration network and a food web, finding significant community divisions. Community structure refers to subsets of vertices with dense connections within and less dense connections between them. The method builds on existing research on network properties like the small-world effect, power-law degree distributions, and network transitivity. The authors highlight the potential applications of detecting community structure, such as understanding social groupings, related papers, or functional groupings in metabolic networks.

Description

Researchers Girvan and Newman discuss community structure in social and biological networks, proposing a method to detect communities using centrality indices...

Technical Information

  • File Format: PDF
  • File Size: 349 KB
  • Pages: 6
  • Language: EN
  • Total Downloads: 72
  • Last Updated: 6 days ago

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