| Document Date: 2012-02-26 12:45:40
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City Bern / Social Network / / Company Renren / Path / eBay / Twitter / YouTube / Facebook / ComputerCommunication Networks / TripAdvisor / Intel / / Country Switzerland / / Currency USD / / / Facility Since Canal / In order for Canal / In Canal / / IndustryTerm online fashion / online auctions / large social networks / social networking sites / distributed graph processing algorithms / content rating systems / transitive trust protocols / real-world networks / online social networks / large networks / push-relabel algorithm / trusted bank / online marketplaces / content sharing systems / transaction network / dynamic credit networks / tolerance systems / payment infrastructure / credit networks / a rapidly changing credit network / graph parallel processing platforms / tolerant applications / erance systems / risk network / reputation systems / electronic commerce community / real-world social networks / social networks / denser networks / static network / social network / real-world systems / credit network / be implemented using graph parallel processing platforms / / Organization Northeastern University / / Person Alan Mislove Ansley / Sybil Tolerance / Krishna P. Gummadi / / Position voter and vote collector / vote collector / General / head / Security and protection General / trusted vote collector / / Product Canal / Canal / a system / / ProgrammingLanguage C++ / / Technology RAM / push-relabel algorithm / following algorithm / API / transitive trust protocols / distributed graph processing algorithms / BFS algorithm / BSP algorithms / 2.66 GHz processors / parallel processing / /
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Canal: Scaling Social Network-Based Sybil Tolerance Schemes Bimal Viswanath Mainack Mondal Krishna P. Gummadi