We use random sampling to quickly estimate, for each vertex in a graph, the average distance to all other vertices.
(BibTeX -- SODA paper -- Citations -- CiteSeer)
We propose a random graph model that (empirically) appears to have a power law degree distribution. Unlike previous models, our model is based on a Markov process rather than incremental growth. We compare our model with others in its ability to predict web graph clustering behavior.
(BibTeX -- Citations -- CiteSeer)
Co-authors -- Publications -- David Eppstein -- Theory Group -- Inf. & Comp. Sci. -- UC Irvine
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