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» Resolvent of large random graphs
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SDM
2010
SIAM
183views Data Mining» more  SDM 2010»
13 years 9 months ago
GraSS: Graph Structure Summarization
Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or for privacy protection (e.g., in the case of socia...
Kristen LeFevre, Evimaria Terzi
COCOON
2009
Springer
14 years 2 months ago
Sublinear-Time Algorithms for Tournament Graphs
We show that a random walk on a tournament on n vertices finds either a sink or a 3-cycle in expected time O √ n · log n · log∗ n , that is, sublinear both in the size of th...
Stefan S. Dantchev, Tom Friedetzky, Lars Nagel
CRYPTO
2005
Springer
103views Cryptology» more  CRYPTO 2005»
14 years 1 months ago
Pebbling and Proofs of Work
We investigate methods for providing easy-to-check proofs of computational effort. Originally intended for discouraging spam, the concept has wide applicability as a method for co...
Cynthia Dwork, Moni Naor, Hoeteck Wee
FOCS
2008
IEEE
14 years 2 months ago
Noise Tolerance of Expanders and Sublinear Expander Reconstruction
We consider the problem of online sublinear expander reconstruction and its relation to random walks in “noisy” expanders. Given access to an adjacency list representation of ...
Satyen Kale, Yuval Peres, C. Seshadhri
SC
2005
ACM
14 years 1 months ago
A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L
Many emerging large-scale data science applications require searching large graphs distributed across multiple memories and processors. This paper presents a distributed breadth...
Andy Yoo, Edmond Chow, Keith W. Henderson, Will Mc...