In the world of digitalization the data play a key role. The data may be in structured or unstructured. The structured data uses data mining techniques to find the unknown pattern from the known data. But, the social media has huge data due to its rapid growth, the data were dynamic and unstructured. Due to this traditional data mining techniques will not be appropriate. The combinational approach of data mining and social media will provide the user to gain an insight and prominent idea how

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... be mined. Social media provides each individual to connect with the others depending on their interest. Every individual are accessing Face book, Twitter, LinkedIn, cademicia.edu, Google+ for sharing their views and thoughts, day-to-day happenings with any one or more of the above sites. This paper give an idea of the how those sites are classified based on their size, data, research focus, design issues and the types of the sites, types of users and the common approaches on social networks which will help the researchers how the social media, social networking websites structurally classified, studies the existing data mining techniques along with the performance metrics used in past researches and tools for retrieving social media data.