An Evaluation of Web Mining Application in Social Networks
|Sreedhar Appalabatla, Dr. Naveen Kumar, Dr. Mungamuru Nirmala
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Social Networks have experienced 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 algorithm 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 wellstudied Boolean link host graph and others pointing to important differences.