Towards the Cloudification of the Social Networks Analytics

  • Daniel Cea
  • Jordi Nin
  • Rubén Tous
  • Jordi Torres
  • Eduard Ayguadé
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8825)


In the last years, with the increase of the available data from social networks and the rise of big data technologies, social data has emerged as one of the most profitable market for companies to increase their benefits. Besides, social computation scientists see such data as a vast ocean of information to study modern human societies. Nowadays, enterprises and researchers are developing their own mining tools in house, or they are outsourcing their social media mining needs to specialised companies with its consequent economical cost. In this paper, we present the first cloud computing service to facilitate the deployment of social media analytics applications to allow data practitioners to use social mining tools as a service. The main advantage of this service is the possibility to run different queries at the same time and combine their results in real time. Additionally, we also introduce twearch, a prototype to develop twitter mining algorithms as services in the cloud.


Social Mining Green Computing Cloud Computing Big Data Analytics Twitter Mining Stream Processing 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Daniel Cea
    • 1
  • Jordi Nin
    • 1
  • Rubén Tous
    • 1
  • Jordi Torres
    • 1
  • Eduard Ayguadé
    • 1
  1. 1.Barcelona Supercomputing Center (BSC)Universitat Politècnica de Catalunya (BarcelonaTech)BarcelonaSpain

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