Social Network Data Extraction Analysis

Abstract

Now-a-days the use of internet is increased; the means of the interaction of people has also been increased. Because of this there are large amount of data have been aggregated very fast which are related to social relationship. The data in web is not organized there are large amount of data have been aggregated very fast which are related to social relationship. Hence it has become very difficult for researches to collect data, to pre-process data, to perform different social networks analyses as well as to visualize the social networks. It requires large amount of time and resources. The proposed system will give solution to the recent problems to store and process large amount of data. The proposed system is not only data warehousing system but also data processing engine. Hadoop and Hama processes data separately with Map-Reduce and BSP algorithms respectively. Performance is checked by generating graph of processing time of Hadoop and Hama.