Zobrazeno 1 - 10
of 114
pro vyhledávání: '"Fernández-Gracia, Juan"'
Autor:
Abella, David, Birello, Piero, Di Gaetano, Leonardo, Ghivarello, Sara, Sabhahit, Narayan G., Sirocchi, Christel, Fernández-Gracia, Juan
The interactions between individuals play a pivotal role in shaping the structure and dynamics of social systems. Complex network models have proven invaluable in uncovering the underlying mechanisms that govern the formation and evolution of these s
Externí odkaz:
http://arxiv.org/abs/2306.17521
Publikováno v:
Applied Network Science 4(1), 23 (2019)
We study how the community structure of bipartite mutualistic networks changes in a dynamic context. First, we consider a real mutualistic network and introduce extinction events according to several scenarios. We model extinctions as node or interac
Externí odkaz:
http://arxiv.org/abs/1905.13007
Autor:
Lacasa, Lucas, Fernández-Gracia, Juan
The last decade has witnessed an explosion on the computational power and a parallel increase of the access to large sets of data (the so called Big Data paradigm) which is enabling to develop brand new quantitative strategies underpinning descriptio
Externí odkaz:
http://arxiv.org/abs/1811.08502
Autor:
Rodríguez, Jorge P., Fernández-Gracia, Juan, Thums, Michele, Hindell, Mark A., Sequeira, Ana M. M., Meekan, Mark G., Costa, Daniel P., Guinet, Christophe, Harcourt, Robert G., McMahon, Clive R., Muelbert, Monica, Duarte, Carlos M., Eguíluz, Víctor M.
Publikováno v:
Sci. Rep. 7, 112 (2017)
The growing number of large databases of animal tracking provides an opportunity for analyses of movement patterns at the scales of populations and even species. We used analytical approaches, developed to cope with big data, that require no a priori
Externí odkaz:
http://arxiv.org/abs/1807.08570
There has lately been increased interest in describing complex systems not merely as single networks but rather as collections of networks that are coupled to one another. We introduce an analytically tractable model that enables one to connect two l
Externí odkaz:
http://arxiv.org/abs/1803.10572
Publikováno v:
Frontiers in Physics 6, 21 (2018)
Models of social diffusion reflect processes of how new products, ideas or behaviors are adopted in a population. These models typically lead to a continuous or a discontinuous phase transition of the number of adopters as a function of a control par
Externí odkaz:
http://arxiv.org/abs/1802.03951
Publikováno v:
Scientific Reports 7, 7166 (2017)
The voter model rules are simple, with agents copying the state of a random neighbor, but they lead to non-trivial dynamics. Besides opinion processes, the model has also applications for catalysis and species competition. Inspired by the temporal in
Externí odkaz:
http://arxiv.org/abs/1703.06073
Autor:
Kahn, Rebecca, Peak, Corey M., Fernández-Gracia, Juan, Hill, Alexandra, Jambai, Amara, Ganda, Louisa, Castro, Marcia C., Buckee, Caroline O.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2020 Mar 01. 117(9), 5067-5073.
Externí odkaz:
https://www.jstor.org/stable/26929203
Autor:
Fernández-Gracia, Juan, Lacasa, Lucas
In this paper we present a social network and forensic analysis of the vote counts of Spanish national elections that took place in December 2015 and their sequel in June 2016. Vote counts are extracted at the level of municipalities, yielding an unu
Externí odkaz:
http://arxiv.org/abs/1607.02841
Influence among individuals is at the core of collective social phenomena such as the dissemination of ideas, beliefs or behaviors, social learning and the diffusion of innovations. Different mechanisms have been proposed to implement inter-agent inf
Externí odkaz:
http://arxiv.org/abs/1503.06692