Applying Cloud Computing Techniques for Efficient Analysis in Social Networks Data

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Provided by: AICIT
Topic: Cloud
Format: PDF
The research area of social networks analysis has been recognized as extremely time-consuming tasks as well as large storage space is always necessary in order to store the social data, especially to deal with the data in the World Wide Web (WWW). Therefore, how to design an architecture and environment for performing social networks analysis is very essential. In this paper, the authors proposed a data warehousing and analyzing system which is based on the concept of cloud computing. The system has also been implemented and evaluated under the proposed environment with different cloud computing approaches, including Hama and MapReduce by comparing the performance when performing crawling and LinkRank in cloud system.
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