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Interactive 3D visualization of soical network data using cloud computing

  • N. Ejaz
  • , I. Mehmood
  • , J.J. Lee
  • , S.M. Ji
  • , M.H. Lee
  • , S.M. Anh
  • , S.W. Baik

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The social networks have revolutionized the online communication and data sharing. The researchers are now focusing on mining and analysis of large amount of social network data for a variety of purposes. However, because of the huge amount of continuously changing data, the data analysis in a daunting task. OLAP analysis is a famous data analysis method which can be used to analyze social data. This work extends our previous work in which we developed interactive 3D visual data cubes for high volume/dimension OLAP data analysis. The implementation of this scheme on traditional computing resources is much time consuming and resource intensive. The advances in cloud computing motivated us to use the cost effective cloud computing for the task of 3D visualization of social networks data. Therefore, in this paper, we propose the usage of cloud computing platforms as a possible solution for analyzing large amount of social network data.
Original languageEnglish
Title of host publicationProceedings - International Conference on Cloud Computing and Social Networking 2012: Cloud Computing and Social Networking for Smart and Productive Society, ICCCSN 2012
PublisherIEEE
Pages1-4
Number of pages4
ISBN (Print)978-1-4673-1816-7
DOIs
Publication statusPublished online - 14 Jun 2012

Keywords

  • Cloud Computing
  • OLAP
  • MVC
  • Data Visualization

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