Performance of Data Warehousing Based Social Network Analysis in Cloud Computing Using Crawler Algorithm
Social Networks Analysis (SNA) is a very suitable and important research method for analyzing the social data structure to understand the characteristics of a network. Furthermore, the analysis results can be applied to many useful areas, such as marketing, the detection of crime and terrorists, recently, the web data are the main target in many researches about using information technology in the area of social networks analysis. Cloud computing has been recognized as extremely time-consuming tasks as well as large storage space and it is necessary for order to store the social data, especially to deal with the data in the World Wide Web. The authors proposed a data warehousing and analyzing system which is based on the concept of cloud computing.