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Maximal dispersion of adaptive random walks
Gabriele Di Bona, Leonardo Di Gaetano, Vito Latora +1
Maximum entropy random walks (MERWs) are maximally dispersing and play a key role in optimizing information spreading in various contexts. However, building MERWs comes at the cost…
Nonlinear walkers and efficient exploration of congested networks
Timoteo Carletti, Malbor Asllani, Duccio Fanelli +1
Random walks are the simplest way to explore or search a graph, and have revealed a very useful tool to investigate and characterize the structural properties of complex networks f…
Non-Markovian temporal networks with auto- and cross-correlated link dynamics
Oliver E. Williams, Piero Mazzarisi, Fabrizio Lillo +1
Many of the biological, social and man-made networks around us are inherently dynamic, with their links switching on and off over time. The evolution of these networks is often non…
Maximal-entropy random walks in complex networks with limited information
Roberta Sinatra, Jesús Gómez-Gardeñes, Renaud Lambiotte +2
Maximization of the entropy rate is an important issue to design diffusion processes aiming at a well-mixed state. We demonstrate that it is possible to construct maximal-entropy r…
Entropy Rate of Diffusion Processes on Complex Networks
Jesus Gomez-Gardenes, Vito Latora
The concept of entropy rate for a dynamical process on a graph is introduced. We study diffusion processes where the node degrees are used as a local information by the random walk…
Analysis of Self-Organized Criticality in the Olami-Feder-Christensen model and in real earthquakes
Filippo Caruso, Alessandro Pluchino, Vito Latora +2
We perform a new analysis on the dissipative Olami-Feder-Christensen model on a small world topology considering avalanche size differences. We show that when criticality appears t…