Zobrazeno 1 - 10
of 266
pro vyhledávání: '"Miguel, M. San"'
Publikováno v:
New J. Phys. 20, 103045 (2018)
We present a full stochastic description of the pair approximation scheme to study binary-state dynamics on heterogeneous networks. Within this general approach, we obtain a set of equations for the dynamical correlations, fluctuations and finite-siz
Externí odkaz:
http://arxiv.org/abs/1807.04615
Publikováno v:
Chaos 28, 075516 (2018)
We study the noisy voter model using a specific non-linear dependence of the rates that takes into account collective interaction between individuals. The resulting model is solved exactly under the all-to-all coupling configuration and approximately
Externí odkaz:
http://arxiv.org/abs/1803.06861
Publikováno v:
Sci Rep 6, 29342 (2016)
We study the Susceptible-Infected-Susceptible model of epidemic spreading on two layers of networks interconnected by adaptive links, which are rewired at random to avoid contacts between infected and susceptible nodes at the interlayer. We find that
Externí odkaz:
http://arxiv.org/abs/1511.05606
We investigate the emergence of localized coherent behavior in a system consisting of two populations of social agents possessing a condition for non-interacting states, mutually coupled through global interaction fields. As an example of such dynami
Externí odkaz:
http://arxiv.org/abs/1309.5998
Publikováno v:
Phys. Rev. E 86, 066113 (2012)
Motivated by the idea that some characteristics are specific to the relations between individuals and not of the individuals themselves, we study a prototype model for the dynamics of the states of the links in a fixed network of interacting units. E
Externí odkaz:
http://arxiv.org/abs/1209.4831
Publikováno v:
PLOS One 7(12):e51035 2012
We investigate the problem of cross-cultural interactions through mass media in a model where two populations of social agents, each with its own internal dynamics, get information about each other through reciprocal global interactions. As the agent
Externí odkaz:
http://arxiv.org/abs/1209.1423
Publikováno v:
Advances in Complex Systems, Vol. 15, Nos. 3 & 4 (2012) 1250048
During the last decade, much attention has been paid to language competition in the complex systems community, that is, how the fractions of speakers of several competing languages evolve in time. In this paper we review recent advances in this direc
Externí odkaz:
http://arxiv.org/abs/1206.2960
Publikováno v:
Phys. Rev. E 84, 015103(R) (2011)
We introduce a general methodology of update rules accounting for arbitrary interevent time distributions in simulations of interacting agents. In particular we consider update rules that depend on the state of the agent, so that the update becomes p
Externí odkaz:
http://arxiv.org/abs/1102.3118
Publikováno v:
PLoS ONE 6(5): e20207 (2011)
Social learning is defined as the ability of a population to aggregate information, a process which must crucially depend on the mechanisms of social interaction. Consumers choosing which product to buy, or voters deciding which option to take respec
Externí odkaz:
http://arxiv.org/abs/1008.3083
We investigate the dynamics of two agent based models of language competition. In the first model, each individual can be in one of two possible states, either using language $X$ or language $Y$, while the second model incorporates a third state XY,
Externí odkaz:
http://arxiv.org/abs/1002.1251