DocumentCode
3540136
Title
On hard limits of eigen-analysis based planted clique detection
Author
Nadakuditi, Raj Rao
Author_Institution
Dept. of EECS, Univ. of Michigan, Ann Arbor, MI, USA
fYear
2012
fDate
5-8 Aug. 2012
Firstpage
129
Lastpage
132
Abstract
We study the problem of detecting or discovering a planted clique embedded in a random graph. Using recent results from random matrix theory, we demonstrate the presence of a phase transition in eigen-analysis based methods for planted clique detection. The transition separates a regime in which eigen-analysis based methods will successfully detect the planted clique and the associated vertices from one in which the planted clique is present but is undetectable. We validate the prediction with numerical simulations.
Keywords
eigenvalues and eigenfunctions; graph theory; matrix algebra; numerical analysis; phase transformations; eigen-analysis; numerical simulation; phase transition; planted clique detection; random graph; random matrix theory; Algorithm design and analysis; Approximation algorithms; Communities; Eigenvalues and eigenfunctions; Numerical simulation; Sparse matrices; Symmetric matrices; network; planted clique; random matrix theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing Workshop (SSP), 2012 IEEE
Conference_Location
Ann Arbor, MI
ISSN
pending
Print_ISBN
978-1-4673-0182-4
Electronic_ISBN
pending
Type
conf
DOI
10.1109/SSP.2012.6319639
Filename
6319639
Link To Document