PyReason: Software for open world temporal logic
D Aditya, K Mukherji, S Balasubramanian… - ar** communities
Nowadays, it is possible to easily utilize positive and negative effects of neighbors on a
social network to maximize diffusion of a novel product and profit of the seller. Hence, this …
social network to maximize diffusion of a novel product and profit of the seller. Hence, this …
Reducing gang violence through network influence based targeting of social programs
In this paper, we study a variant of the social network maximum influence problem and its
application to intelligently approaching individual gang members with incentives to leave a …
application to intelligently approaching individual gang members with incentives to leave a …
Local belief dynamics in network knowledge Bases
People are becoming increasingly more connected to each other as social networks
continue to grow both in number and variety, and this is true for autonomous software agents …
continue to grow both in number and variety, and this is true for autonomous software agents …
Evolutionary-based framework for optimizing the spread of information on Twitter
Currently social networks are a medium designed to share and spread information and
opinions among users. To effectively spread information characteristics of information …
opinions among users. To effectively spread information characteristics of information …
Novel topic diffusion prediction using latent semantic and user behavior
Predicting diffusions on big social media data using natural language processing (NLP) and
social network analysis (SNA) techniques is an emerging research domain. To predict …
social network analysis (SNA) techniques is an emerging research domain. To predict …
Efficient maintenance of shortest distances in dynamic graphs
Computing shortest distances is a central task in many domains. The growing number of
applications dealing with dynamic graphs calls for incremental algorithms, as it is impractical …
applications dealing with dynamic graphs calls for incremental algorithms, as it is impractical …
Belief dynamics in complex social networks
People are becoming increasingly more connected to each other in social media networks.
These networks are complex because in general there can be many di fferent types of …
These networks are complex because in general there can be many di fferent types of …