The main aim of this Scalable Learning of Collective Behavior Project is to work out collective behavior on social networking sites like face book, yahoo, orkut, hi5 and twitter. By this present work we can handle million of social networking users over a network.

To implement this software application we have used 4 major modules 1) extracting the social dimension module 2) Discriminative learning module 3) chart generation for user module 4) chart generation for group module. This final year project was coded and well implemented by using Microsoft .net & SQL.

Download Scalable Learning of Collective Behavior Project documentation, Seminar topic, Base Paper, Abstract,Video file.