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  • 标题:An Evaluation of Web Mining Application in Social Networks
  • 本地全文:下载
  • 作者:Sreedhar Appalabatla ; Dr. Naveen Kumar ; Dr. Mungamuru Nirmala
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2014
  • 卷号:2
  • 期号:6
  • 出版社:S&S Publications
  • 摘要:Social Networks have experien ced a meteoric rise recently. They provide a number of functionalities such as network of friends or business contacts listings, content - sharing, profile surfing, discussion and messaging tools. Interoperability among Social Networks being a key challenge, the Google - powered Open - Social alliance has partly solved it and unveiled a new breed of strategies to gather data from Social Network users. In this paper , we discuss about on the Open - Social functionality and combine it with filtering and ranking algori thm to enhance email management. We analyze the traffic - weighted Web host graph obtained from a large sample of real Web users . A number of interesting structural properties are revealed by this complex dynamic network, some in line with the well - studied Boolean link host graph and others pointing to important differences
  • 关键词:Open Social Network Dataset (OSND ); Latent Semantic Analysis (LSA) ; Web traffic; Web host ; graph .
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