Social networks provides platform to user to share their pictures, videos and make new friends and follow a community and so on. There are different applications of social networks but mostly used applications are Facebook, Instagram, and twitter. A user can recommend a page or community to other user based on their interests but it is difficult to recognize which page or posts posted on page is original or not for this in this paper an attempt has been made to recommend a friend to follow a Facebook page or not. In proposed mechanism the posts are distinguished based on their popularity which is calculated various features like comments reactions shares. this popularity is calculated using python program. The proposed mechanism is analyzed using Gephi with performance metrics like modularity, centrality betweeness, page rank etc.

Social Networks, Facebook, User, Posts Popularity, Netvizz and Gephi.

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