Social Networking Analysis is gaining more popularity day by day due to its major contribution towards business marketing analytics and future decision policies for any large organization. These kinds of assessments have their potential advantages towards designing future business strategies for a particular product/object available in the market. The social media is now open for all kind of blogs, independent views and open communities. People are free to express their ideas or opinion for any specific product. Now social media has become a widely accepted platform to establish an opinion set for a particular product. The author have described various strategies to gather data from these social communities and try to find the specific interest group/subgroup for any product or person or any object. In this paper, the authors have used an open source tool NodeXL for analysis of twitter tweets and find out most effective group or community individually. This analysis is targeted on the factor of centrality and clustering coefficient analysis.
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