Geodesic
Synchronization and information transmission in networks
Acilina Caneco1 ; J. Leonel Rocha2
1 Instituto Superior de Engenharia de Lisboa - ISEL, ADM and CIMA-UE, Rua Conselheiro Emdio Navarro, 1, 1959-007 Lisboa, Portugal
2 Instituto Superior de Engenharia de Lisboa - ISEL, ADM and CEAUL, Rua Conselheiro Emdio Navarro, 1, 1959-007 Lisboa, Portugal
ESAIM. Proceedings, Tome 46 (2014), pp. 111-124 Cet article a éte moissonné depuis la source EDP Sciences

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The amount of information produced by a network may be measured by the mutual information rate. This measure, the Kolmogorov-Sinai entropy and the synchronization interval are expressed in terms of the transversal Lyapunov exponents. Thus, these concepts are related and we proved that the larger the synchronization is, the larger the rate with which information is exchanged between nodes in the network. In fact, as the coupling parameter increases, the mutual information rate increases to a maximum at the synchronization interval and then decreases. Moreover, the Kolmogorov-Sinai entropy decreases until reaching a minimum at the synchronization interval and then increases. We present some numerical simulations considering two different versions of coupling two maps, a complete network and a lattice, which confirmed our theoretical results.
DOI : 10.1051/proc/201446010

Acilina Caneco 1 ; J. Leonel Rocha 2

1 Instituto Superior de Engenharia de Lisboa - ISEL, ADM and CIMA-UE, Rua Conselheiro Emdio Navarro, 1, 1959-007 Lisboa, Portugal
2 Instituto Superior de Engenharia de Lisboa - ISEL, ADM and CEAUL, Rua Conselheiro Emdio Navarro, 1, 1959-007 Lisboa, Portugal 
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     author = {Acilina Caneco and J. Leonel Rocha},
     title = {Synchronization and information transmission in networks},
     journal = {ESAIM. Proceedings},
     pages = {111--124},
     year = {2014},
     volume = {46},
     doi = {10.1051/proc/201446010},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.1051/proc/201446010/}
}
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Acilina Caneco; J. Leonel Rocha. Synchronization and information transmission in networks. ESAIM. Proceedings, Tome 46 (2014), pp. 111-124. doi: 10.1051/proc/201446010

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