Building damage-resilient dominating sets in complex networks against random and targeted attacks.

Molnár, F; Derzsy, N; Szymanski, B K; Korniss, G

Molnár, F; Derzsy, N; Szymanski, B K; Korniss, G.

Afiliación

Molnár F; 1] Department of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY, 12180-3590 USA [2] Social Cognitive Networks Academic Research Center, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY, 12180-3590 USA.
Derzsy N; 1] Department of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY, 12180-3590 USA [2] Social Cognitive Networks Academic Research Center, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY, 12180-3590 USA.
Szymanski BK; 1] Social Cognitive Networks Academic Research Center, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY, 12180-3590 USA [2] Department of Computer Science, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY, 12180-3590 USA.
Korniss G; 1] Department of Physics, Applied Physics, and Astronomy, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY, 12180-3590 USA [2] Social Cognitive Networks Academic Research Center, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY, 12180-3590 USA.

Sci Rep ; 5: 8321, 2015 Feb 09.

Article en En | MEDLINE | ID: mdl-25662371

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials Idioma: En Revista: Sci Rep Año: 2015 Tipo del documento: Article Pais de publicación: Reino Unido

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