Research Article Open Access

An Evaluation of Web Mining Application in Social Networks

Abstract

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.

Sreedhar Appalabatla, Dr. Naveen Kumar, Dr. Mungamuru Nirmala

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