Community Detection System in Online Social Network

Due to the important number of online social network (OSN) users, the amount of data made available via this OSN is exponentially increasing. Such data is an opportunity to analysts and decision makers to discover new insights that allows better decisions. To analyse such network, one of the most important tasks consists in discovering community within such networks based on the users interests and activities. In this work, we present a design and an implementation of a big data solution that allows effectively to detect communities within the Twitter Social network. Our solution allows a multi-criteria search over the Twitter social graph to get more accurate results.