In this paper we describe a novel algorithm based on Game Theory for Community Detection in Social Networks. Extending several Game Theoretic approaches that are well established in the literature, we propose a novel algorithm that outperforms the previous ones in terms of computational complexity and efficiency of results, as proved by a number of experiments on standard data sets.

Analysis of community in social networks based on game theory

Castiglione A.;
2019-01-01

Abstract

In this paper we describe a novel algorithm based on Game Theory for Community Detection in Social Networks. Extending several Game Theoretic approaches that are well established in the literature, we propose a novel algorithm that outperforms the previous ones in terms of computational complexity and efficiency of results, as proved by a number of experiments on standard data sets.
2019
978-1-7281-3024-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11367/87827
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