Weighted Spectral Distribution: A Metric for Structural Analysis of Networks

Damien Fay, Hamed Haddadi, Andrew W. Moore, Richard Mortier, Andrew G. Thomason, Steve Uhlig

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)
Original languageEnglish
Title of host publicationStatistical and Machine Learning Approaches for Network Analysis
PublisherJohn Wiley and Sons
Pages153-189
Number of pages37
ISBN (Print)9780470195154
DOIs
Publication statusPublished - 21 Jun 2012
Externally publishedYes

Keywords

  • Model and particular metrics, parameters, selected AS topology observation
  • Topology generators matching Skitter, tuning, Inet and PFP performing best
  • WSD and common structural metric, the clustering coefficient
  • WSD based on spectrum of Laplacian matrix, random walk cycles
  • WSD, a metric for structural analysis of networks

ASJC Scopus subject areas

  • Mathematics(all)

Cite this

Fay, D., Haddadi, H., Moore, A. W., Mortier, R., Thomason, A. G., & Uhlig, S. (2012). Weighted Spectral Distribution: A Metric for Structural Analysis of Networks. In Statistical and Machine Learning Approaches for Network Analysis (pp. 153-189). John Wiley and Sons. https://doi.org/10.1002/9781118346990.ch6