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» Sparse random graphs with clustering
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NIPS
2004
13 years 9 months ago
Hierarchical Eigensolver for Transition Matrices in Spectral Methods
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
Chakra Chennubhotla, Allan D. Jepson

Publication
203views
13 years 7 months ago
Multigraph Sampling of Online Social Networks
State-of-the-art techniques for probability sampling of users of online social networks (OSNs) are based on random walks on a single social relation. While powerful, these methods ...
Minas Gjoka, Carter T. Butts, Maciej Kurant, Athin...
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
13 years 9 months ago
Clustering from Constraint Graphs
In constrained clustering it is common to model the pairwise constraints as edges on the graph of observations. Using results from graph theory, we analyze such constraint graphs ...
Ari Freund, Dan Pelleg, Yossi Richter
SODA
2012
ACM
205views Algorithms» more  SODA 2012»
11 years 10 months ago
Global minimum cuts in surface embedded graphs
We give a deterministic algorithm to find the minimum cut in a surface-embedded graph in near-linear time. Given an undirected graph embedded on an orientable surface of genus g,...
Jeff Erickson, Kyle Fox, Amir Nayyeri
ESA
2004
Springer
97views Algorithms» more  ESA 2004»
14 years 27 days ago
Radio Network Clustering from Scratch
Abstract. We propose a novel randomized algorithm for computing a dominating set based clustering in wireless ad-hoc and sensor networks. The algorithm works under a model which ca...
Fabian Kuhn, Thomas Moscibroda, Roger Wattenhofer