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Densest Subgraph in Streaming and MapReduce Bahman Bahmani Ravi Kumar Sergei Vassilvitskii
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Document Date: 2012-01-21 14:30:00


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Istanbul / /

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Twitter / Facebook / Yahoo! Research New York / Yahoo! / Enron / /

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Turkey / /

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USD / /

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large social networks / approximation algorithm / near-optimal solutions / distributed computing models / flow-based exact algorithms / wide-ranging applications / graph processing / data management applications / large networks / streaming α-approximation algorithm / above algorithm / latter algorithm / power law property / faster algorithm / social media / largescale data processing applications / p-pass streaming algorithm / large scale data mining / large-scale parallel processing / greedy algorithm / give algorithms / combinatorial approximation algorithms / streaming algorithms / approximate solution / community mining / greedy approximation algorithm / streaming algorithm / multi-pass algorithm / mining / power law / social networks / natural applications / social network / distributed computing model / search engine / power law distribution / internet-sized graphs / /

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National Science Foundation / Stanford University Stanford / VLDB Endowment / /

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Ravi Kumar Sergei Vassilvitskii / William R. Hewlett Stanford Graduate / Suri / Bahman Bahmani Ravi Kumar Sergei / /

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