Information spread in opinionated social networks

The proposed work develops a framework for opinion-aware network formulation from online topical networks and its subsequent analysis. Novel concepts of opinion class and opinion compatibility are proposed for a context-aware graph-reduce approach. Experiments highlight howthe context-sensitive framework enables faster influence maximisation over the network using existing Greedy and CELF models of influence spread.