Ashok Bhansali and Dr. H.R. Sharma
Social networks are the contemporary ways to connect people across the globe. Social networking websites contain huge amount of data inside them. Volume of data is enormous and growing at a very fast rate. Social network data can be classified in three major categories – user profile data, user communication data and group communication data. Data mining can be applied effectively to discover the knowledge and to extract the useful patterns from this gigantic data set, which is called as the social network mining. In this paper we proposed a new search protocol to mine the information across all the social networking data in general, and use the extracted pattern to search an expert in particular. Further a mechanism to rank the searched experts is also proposed. Using this proposed protocol, apart from expert identification, number of useful patterns can be discovered from social networking data.
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