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» Sparse random graphs with clustering
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CVPR
2012
IEEE
11 years 10 months ago
Mode-seeking on graphs via random walks
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
Minsu Cho, Kyoung Mu Lee
LCN
2007
IEEE
14 years 1 months ago
Search Algorithms for Unstructured Peer-to-Peer Networks
Abstract—We study the performance of several search algorithms on unstructured peer-to-peer networks, both using classic search algorithms such as flooding and random walk, as w...
Reza Dorrigiv, Alejandro López-Ortiz, Pawel...
COMBINATORICA
2007
117views more  COMBINATORICA 2007»
13 years 7 months ago
Embedding nearly-spanning bounded degree trees
We derive a sufficient condition for a sparse graph G on n vertices to contain a copy of a tree T of maximum degree at most d on (1 − )n vertices, in terms of the expansion prop...
Noga Alon, Michael Krivelevich, Benny Sudakov
SIGMETRICS
2003
ACM
150views Hardware» more  SIGMETRICS 2003»
14 years 22 days ago
Conductance and congestion in power law graphs
It has been observed that the degrees of the topologies of several communication networks follow heavy tailed statistics. What is the impact of such heavy tailed statistics on the...
Christos Gkantsidis, Milena Mihail, Amin Saberi
JGAA
2007
124views more  JGAA 2007»
13 years 7 months ago
Energy Models for Graph Clustering
The cluster structure of many real-world graphs is of great interest, as the clusters may correspond e.g. to communities in social networks or to cohesive modules in software syst...
Andreas Noack