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Clustering Graphs and Network Data

  • Applications
    • Bi-partite graphs, e.g., customers and products, authors and conferences
    • Web search engines, e.g., click through graphs and Web graphs
    • Social networks, friendship/coauthor graphs
  • Similarity measures
    • Geodesic distances
    • Distance based on random walk (SimRank)
  • Graph clustering methods
    • Minimum cuts: FastModularity (Clauset, Newman & Moore, 2004)
    • Density-based clustering: SCAN (Xu et al., KDD’2007)

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