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- Damián H Zanette, Sebastián Risau-Gusmán
- Journal of biological physics
- 2008

We study the spreading of an infection within an SIS epidemiological model on a network. Susceptible agents are given the opportunity of breaking their links with infected agents. Broken links are either permanently removed or reconnected with the rest of the population. Thus, the network coevolves with the population as the infection progresses. We show… (More)

- Mara Fabiana Laguna, Sebastián Risau-Gusman
- PloS one
- 2011

In this paper we use detailed data about the biology of the head louse (pediculus humanus capitis) to build a model of the evolution of head lice colonies. Using theory and computer simulations, we show that the model can be used to assess the impact of the various strategies usually applied to eradicate head lice, both conscious (treatments) and… (More)

- Sebastián Risau-Gusman, Damián H Zanette
- Journal of theoretical biology
- 2009

We study the effects of switching social contacts as a strategy to control epidemic outbreaks. Connections between susceptible and infective individuals can be broken by either individual, and then reconnected to a randomly chosen member of the population. It is assumed that the reconnecting individual has no previous information on the epidemiological… (More)

- H Dopazo, M B Gordon, R Perazzo, S Risau-Gusman
- Bulletin of mathematical biology
- 2001

We present a simple model in order to discuss the interaction of the genetic and behavioral systems throughout evolution. This considers a set of adaptive perceptrons in which some of their synapses can be updated through a learning process. This framework provides an extension of the well-known Hinton and Nowlan model by blending together some learning… (More)

- Sebastian Risau-Gusman, Alexandre S Martinez, Osame Kinouchi
- Physical review. E, Statistical, nonlinear, and…
- 2003

A random walk is performed over a disordered media composed of N sites random and uniformly distributed inside a d-dimensional hypercube. The walker cannot remain in the same site and hops to one of its n neighboring sites with a transition probability that depends on the distance D between sites according to a cost function E(D). The stochasticity level is… (More)

- Alexandre S Martinez, Osame Kinouchi, Sebastian Risau-Gusman
- Physical review. E, Statistical, nonlinear, and…
- 2004

A random walk is performed on a disordered landscape composed of N sites randomly and uniformly distributed inside a d-dimensional hypercube. The walker hops from one site to another with probability proportional to exp[-betaE(D)], where beta=1/T is the inverse of a formal temperature and E(D) is an arbitrary cost function which depends on the hop distance… (More)

- Alessandra F Lütz, Sebastián Risau-Gusman, Jeferson J Arenzon
- Journal of theoretical biology
- 2013

Intransitivity is a property of connected, oriented graphs representing species interactions that may drive their coexistence even in the presence of competition, the standard example being the three species Rock-Paper-Scissors game. We consider here a generalization with four species, the minimum number of species allowing other interactions beyond the… (More)

- M N Kuperman, S Risau-Gusman
- Physical review. E, Statistical, nonlinear, and…
- 2012

In recent years the prisoner's dilemma has become a paradigm for the study of the emergence of cooperation in spatially structured populations. Such a structure is usually assumed to be given by a graph. In general, the success of cooperative strategies is associated with the possibility of forming globular clusters, which in turn depends on a feature of… (More)

- Sebastián Risau-Gusman
- Journal of the Royal Society, Interface
- 2012

Network epidemiology often assumes that the relationships defining the social network of a population are static. The dynamics of relationships is only taken indirectly into account by assuming that the relevant information to study epidemic spread is encoded in the network obtained, by considering numbers of partners accumulated over periods of time… (More)

- S Risau-Gusman, M B Gordon
- Physical review. E, Statistical, nonlinear, and…
- 2001

We study the typical learning properties of the recently introduced soft margin classifiers (SMCs), learning realizable and unrealizable tasks, with the tools of statistical mechanics. We derive analytically the behavior of the learning curves in the regime of very large training sets. We obtain exponential and power laws for the decay of the generalization… (More)