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INFOCOM
2003
IEEE
14 years 3 months ago
Sampling Biases in IP Topology Measurements
— Considerable attention has been focused on the properties of graphs derived from Internet measurements. Router-level topologies collected via traceroute-like methods have led s...
Anukool Lakhina, John W. Byers, Mark Crovella, Pen...
PAKDD
2009
ACM
134views Data Mining» more  PAKDD 2009»
14 years 7 months ago
On Link Privacy in Randomizing Social Networks.
Many applications of social networks require relationship anonymity due to the sensitive, stigmatizing, or confidential nature of relationship. Recent work showed that the simple ...
Xiaowei Ying, Xintao Wu
ISCIS
2005
Springer
14 years 3 months ago
Computing Communities in Large Networks Using Random Walks
Dense subgraphs of sparse graphs (communities), which appear in most real-world complex networks, play an important role in many contexts. Computing them however is generally expe...
Pascal Pons, Matthieu Latapy
RSA
2010
98views more  RSA 2010»
13 years 8 months ago
Merging percolation on Zd and classical random graphs: Phase transition
: We study a random graph model which is a superposition of bond percolation on Zd with parameter p, and a classical random graph G(n, c/n). We show that this model, being a homoge...
Tatyana S. Turova, Thomas Vallier
COMBINATORICA
2010
13 years 7 months ago
A randomized embedding algorithm for trees
In this paper, we propose a simple and natural randomized algorithm to embed a tree T in a given graph G. The algorithm can be viewed as a "self-avoiding tree-indexed random ...
Benny Sudakov, Jan Vondrák