| Document Date: 2011-10-19 23:36:27
Open Document File Size: 202,44 KBShare Result on Facebook
City New York / / Company ACM Inc. / Google / Microsoft Search Labs / / Country United States / / Currency USD / / / Facility Penn Plaza / Amphitheatre Parkway / Georgia Institute of Technology SREENIVAS GOLLAPUDI / / / IndustryTerm streaming graph algorithms / web-graph / na¨ıve algorithm / web-graph representing / alternate algorithm / search engine query logs / streaming algorithms / link-based ranking algorithms / streaming algorithm / real world graph applications / web graph / social networks / in√the algorithm / / NaturalFeature Graph Streams / / Organization Georgia Institute of Technology SREENIVAS GOLLAPUDI / / Person RINA PANIGRAHY / SREENIVAS GOLLAPUDI / / / Position surfer / author / random surfer / General / / ProvinceOrState New York / / PublishedMedium Journal of the ACM / / Technology previous algorithm / link-based ranking algorithms / PageRank algorithm / na¨ıve algorithm / alternate algorithm / in√the algorithm / streaming graph algorithms / 7 ALGORITHM / search engine / streaming algorithm / / URL http /
SocialTag |
Estimating PageRank on Graph Streams ATISH DAS SARMA, Georgia Institute of Technology SREENIVAS GOLLAPUDI and RINA PANIGRAHY, Microsoft Research This article focuses on computations on large graphs (e.g., the web-graph)