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
Link To Document :
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