In this paper we describe a novel algorithm based on Game Theory for Community Detection in Online 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.
Community detection based on Game Theory / Moscato, V.; Picariello, A.; Sperlì, G.. - In: ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. - ISSN 0952-1976. - 85:(2019), pp. 773-782. [10.1016/j.engappai.2019.08.003]
Community detection based on Game Theory
V. Moscato;A. Picariello;G. Sperlì
2019
Abstract
In this paper we describe a novel algorithm based on Game Theory for Community Detection in Online 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.File in questo prodotto:
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