期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
期号：ICIET
页码：19
出版社：S&S Publications
摘要：Social Media Networks (SMNs) are playing increasingly prominent role in people’s daily life. Dealingwith big data in Computational Social Networks may require powerful machines, big storage and high bandwidthwhich may seem beyond the capacity. Due to tremendous amount of information to identify the communities in bigdata scenarios has become a challenge. On previous work map equation many mining mechanism are performed. Thusto present different indexing mechanisms such as Mongo and Lucene based Indexing. Mongo is good for storing data.Lucene is a low RAM consumption and has a stable system. By comparing those on the Micro Blog Posts (MBPs)collected from popular Online Social Networks sites (OSN) in India. Upload the indexing mechanism onto the HadoopDistributed File System (HDFS) and analyze the Result.
