Influence Maximization in Social Media Networks Using Hypergraphs

摘要: In this paper, inspired by hypergraph-based approaches, we propose a novel data model for social media networks: it allows to represent in simple way all the different kinds of relationships that are typical these environments (among multimedia contents, among users and content themselves) enable several analytics applications. From other hand, have tested influence maximization algorithms leveraging introduced network structure order show advantages consider also “user-to-multimedia” (in addition “user-to-user” ones) analysis problem. Preliminary experiments using networks shows how our approach obtains very promising results.