How Random are Online Social Interactions? (original) (raw)

IJERT-Social Networking And Its Collective Behavior

International Journal of Engineering Research and Technology (IJERT), 2013

https://www.ijert.org/social-networking-and-its-collective-behaviour https://www.ijert.org/research/social-networking-and-its-collective-behaviour-IJERTV2IS100308.pdf This paper is to understand how people behave in a public press environment. Collective behaviour refers to how individuals behave when they are exposed in a social network. This collective behaviour gives the opportunity to predict online behaviours of users in a network, given the behaviour information of some actors in the network. However, the systems in the network are normally of heavy size, involving many. The range of these systems entails scalable learning of models for combined actions forecast. we propose an edge-centric clustering scheme to extract rare public measurements. With sparse social dimensions, the proposed approach can efficiently handle networks of millions of actors while demonstrating a comparable prediction performance to other non-scalable methods.we develop charts user/group,user/month in this social networks.