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Zanin M.,Innaxis Foundation and Research Institute | Zanin M.,Polytechnic University of Mozambique | Zanin M.,New University of Lisbon | Lillo F.,Normal School of Pisa | Lillo F.,Santa Fe Institute
European Physical Journal: Special Topics | Year: 2013

Air transport is a key infrastructure of modern societies. In this paper we review some recent approaches to air transport, which make extensive use of theory of complex networks. We discuss possible networks that can be defined for the air transport and we focus our attention to networks of airports connected by flights. We review several papers investigating the topology of these networks and their dynamics for time scales ranging from years to intraday intervals, and consider also the resilience properties of air networks to extreme events. Finally we discuss the results of some recent papers investigating the dynamics on air transport network, with emphasis on passengers traveling in the network and epidemic spreading. © 2013 EDP Sciences and Springer. Source


Zanin M.,Polytechnic University of Mozambique | Zanin M.,New University of Lisbon | Zanin M.,Innaxis Foundation and Research Institute | Zunino L.,CONICET | And 4 more authors.
Entropy | Year: 2012

Entropy is a powerful tool for the analysis of time series, as it allows describing the probability distributions of the possible state of a system, and therefore the information encoded in it. Nevertheless, important information may be codified also in the temporal dynamics, an aspect which is not usually taken into account. The idea of calculating entropy based on permutation patterns (that is, permutations defined by the order relations among values of a time series) has received a lot of attention in the last years, especially for the understanding of complex and chaotic systems. Permutation entropy directly accounts for the temporal information contained in the time series; furthermore, it has the quality of simplicity, robustness and very low computational cost. To celebrate the tenth anniversary of the original work, here we analyze the theoretical foundations of the permutation entropy, as well as the main recent applications to the analysis of economical markets and to the understanding of biomedical systems. © 2012 by the authors. Source


Zanin M.,Innaxis Foundation and Research Institute | Zanin M.,New University of Lisbon
Physica A: Statistical Mechanics and its Applications | Year: 2014

Complex networks have been extensively used to study the topological and dynamical characteristics of transportation systems, although far less attention has been devoted to the analysis of specific problems arising in everyday operations. In this work, the use of a network representation is proposed for studying the appearance of Loss of Separation events, a kind of safety occurrence in which two aircraft violate the minimal separation while airborne. The topological analysis of networks representing the structure of traffic flows allows identifying situations in which the probability of appearance of such events is increased. Beyond these specific results, this work demonstrates the usefulness of the complex network approach in the analysis of operational patterns and occurrences. © 2014 Elsevier B.V. All rights reserved. Source


Zanin M.,Innaxis Foundation and Research Institute | Pisarchik A.N.,Technical University of Madrid
Information Sciences | Year: 2014

We present a novel permutation algorithm for fast encryption of a large amount of data, such as 3D images and real-time videos. The proposed P-Box algorithm takes advantage of Gray code properties and allows fast encryption with high information diffusion. The algorithm is optimized for integer q-bit operations (q=8,16,32,...), allowing a direct implementation in almost any hardware platform, while avoiding rounding errors of floating-point operations. By combining the P-Box with chaotic S-Box based on the logistic map, we design a complete, highly secure and fast cryptosystem. © 2014 Elsevier Inc. All rights reserved. Source


Zanin M.,Innaxis Foundation and Research Institute | Zanin M.,New University of Lisbon
Physica A: Statistical Mechanics and its Applications | Year: 2015

Functional networks, i.e. networks representing dynamic relationships between the components of a complex system, have been instrumental for our understanding of, among others, the human brain. Due to limited data availability, the multi-layer nature of numerous functional networks has hitherto been neglected, and nodes are endowed with a single type of links even when multiple relationships coexist at different physical levels. A relevant problem is the assessment of the benefits yielded by studying a multi-layer functional network, against the simplicity guaranteed by the reconstruction and use of the corresponding single layer projection. Here, I tackle this issue by using as a test case, the functional network representing the dynamics of delay propagation through European airports. Neglecting the multi-layer structure of a functional network has dramatic consequences on our understanding of the underlying system, a fact to be taken into account when a projection is the only available information. © 2015 Elsevier B.V. All rights reserved. Source

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