• DocumentCode
    3755944
  • Title

    Residuals-based subgraph detection with cue vertices

  • Author

    Benjamin A. Miller;Stephen Kelley;Rajmonda S. Caceres;Steven T. Smith

  • Author_Institution
    Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, Massachusetts 02420
  • fYear
    2015
  • Firstpage
    1530
  • Lastpage
    1534
  • Abstract
    A common problem in modern graph analysis is the detection of communities, an example of which is the detection of a single anomalously dense subgraph. Recent results have demonstrated a fundamental limit for this problem when using spectral analysis of modularity. In this paper, we demonstrate the implication of these results on subgraph detection when a cue vertex is provided, indicating one of the vertices in the community of interest. Several recent algorithms for local community detection are applied in this context, and we compare their empirical performance to that of the simple method used to derive the theoretical detection limits.
  • Keywords
    "Image edge detection","Symmetric matrices","Standards","Algorithm design and analysis","Context","Eigenvalues and eigenfunctions","Laplace equations"
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2015 49th Asilomar Conference on
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2015.7421401
  • Filename
    7421401