Journal articles
Influence Maximization in Independent Cascade Networks Based on Activation Probability Computation
1
MOFED - Modèles et Formalismes à Evénements Discrets (France)
- LIS - Laboratoire d'Informatique et Systèmes (Aix Marseille Université – Campus de Saint Jérôme – Bat. Polytech, 52 Av. Escadrille Normandie Niemen, 13397 Marseille Cedex 20 - France)
- UTLN - Université de Toulon : UMR7020 (Avenue de l'Université - BP 20132 - 83957 La Garde Cedex - France)
- CNRS - Centre National de la Recherche Scientifique : UMR7020 (France)
- AMU - Aix Marseille Université : UMR7020 (Aix-Marseille Université Jardins du Pharo 58 Boulevard Charles Livon 13284 Marseille cedex 7 - France)
2
DIEE - Department of Electrical and Electronic Engineering [University of Cagliari] (Piazza d'Armi, 09123, Cagliari - Italy)
- University of Cagliari (Italy)
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Journal articles
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https://hal-amu.archives-ouvertes.fr/hal-02373686
Contributor : Leonardo Brenner <>
Submitted on : Thursday, November 21, 2019 - 10:48:42 AM
Last modification on : Friday, November 22, 2019 - 1:36:51 AM
Contributor : Leonardo Brenner <>
Submitted on : Thursday, November 21, 2019 - 10:48:42 AM
Last modification on : Friday, November 22, 2019 - 1:36:51 AM
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- HAL Id : hal-02373686, version 1
- DOI : 10.1109/ACCESS.2019.2894073
Citation
Wenjing Yang, Leonardo Brenner, Alessandro Giua. Influence Maximization in Independent Cascade Networks Based on Activation Probability Computation. IEEE Access, IEEE, 2019, 7, pp.13745-13757. ⟨10.1109/ACCESS.2019.2894073⟩. ⟨hal-02373686⟩
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