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BSMA-Gen: A Parallel Synthetic Data Generator for Social Media Timeline Structures

  • Chengcheng Yu
  • Fan Xia
  • Qunyan Zhang
  • Haixin Ma
  • Weining Qian
  • Minqi Zhou
  • Cheqing Jin
  • Aoying Zhou
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8422)

Abstract

A synthetic social media data generator, namely BSMA-Gen is introduced in this demonstration. It can parallelly generate timeline structures of social media. The data generator is part of BSMA, a benchmark for analytical queries over social media data. Both its internal process and generated data are to be shown in the demonstration.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Chengcheng Yu
    • 1
  • Fan Xia
    • 1
  • Qunyan Zhang
    • 1
  • Haixin Ma
    • 1
  • Weining Qian
    • 1
  • Minqi Zhou
    • 1
  • Cheqing Jin
    • 1
  • Aoying Zhou
    • 1
  1. 1.Center for Cloud Computing and Big Data, Software Engineering InstituteEast China Normal UniversityShanghaiChina

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