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 IEEE.
Analysis of community in social networks based on game theory / Castiglione, A.; Cozzolino, G.; Moscato, V.; Sperli, G.. - (2019), pp. 619-626. [10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00118]
Analysis of community in social networks based on game theory
Castiglione, A.;Cozzolino, G.;Moscato, V.;Sperli, G.
2019
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 IEEE.File in questo prodotto:
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