Abstract
In this paper we apply Answer Set Programming for analyzing properties of social networks, and we consider Information Diffusion in Social Network Analysis. This problem has been deeply investigated for single social networks, but we focus on a new setting where many social networks coexist and are strictly connected to each other, thanks to those users who join more social networks. We present some experiments allowing us to conclude that the way of spreading information in a Multi-Social-Network scenario is completely different from that of a Single-Social-Network context.
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Marra, G., Ricca, F., Terracina, G., Ursino, D. (2014). Exploiting Answer Set Programming for Handling Information Diffusion in a Multi-Social-Network Scenario. In: Fermé, E., Leite, J. (eds) Logics in Artificial Intelligence. JELIA 2014. Lecture Notes in Computer Science(), vol 8761. Springer, Cham. https://doi.org/10.1007/978-3-319-11558-0_45
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DOI: https://doi.org/10.1007/978-3-319-11558-0_45
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