Recurrence Networks: evolution and robustness
We analyze networks generated by the recurrence plots of the time series of chaotic systems
and study their properties, evolution and robustness against several types of attacks. Evolving
recurrence networks obtained from chaotic systems display interesting features from the point
of view of robustness (in particular, those related to their connectivity), which could help in the
design of systems with high capability and robustness for information diffusion. The approach
is extended to cases where the equations of the chaotic system are not given (but are defined
by their time series) using state-space reconstruction methods and we note that the general
characteristics of the attractors generated by such systems are maintained under this transformation.
A comparison with well-known complex network models is performed to illustrate the
differences and similarities
STROZZI Fernanda;
POLJANSEK Karmen;
BONO Flavio;
GUTIERREZ TENREIRO Eugenio;
ZALDIVAR COMENGES Jose';
2011-07-12
WORLD SCIENTIFIC PUBL CO PTE LTD
JRC56991
0218-1274,
https://publications.jrc.ec.europa.eu/repository/handle/JRC56991,
10.1142/S0218127411028891,
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