Investigating Information Diffusion in a Multi-Social-Network Scenario via Answer Set Programming

Abstract

Information Diffusion is a classical problem in Social Network Analysis, where it has been deeply investigated for single social networks. In this paper, we begin to study it in a multi-social-network scenario, where many social networks coexist and are strictly connected to each other, thanks to those users who join more social networks. In this activity, Answer Set Programming provided us with a powerful and flexible tool for an easy set-up and implementation of our investigations.