Zobrazeno 1 - 10
of 225
pro vyhledávání: '"Eguiluz, Victor M."'
Autor:
Fernández-Gracia, Juan, Rodríguez, Jorge P., Peel, Lauren R., Klemm, Konstantin, Meekan, Mark G., Eguíluz, Víctor M.
Social interactions are fundamental in animal groups, including humans, and can take various forms, such as competition, cooperation, or kinship. Understanding these interactions in marine environments has been historically challenging due to data co
Externí odkaz:
http://arxiv.org/abs/2412.03990
Publikováno v:
iScience 27(7), 110236 (2024)
The reduction in sea ice cover with Arctic warming facilitates the transit of ships through routes that are remarkably shorter than the traditional shipping routes. Automatic Identification System (AIS), ideally designed to avoid vessel collisions, t
Externí odkaz:
http://arxiv.org/abs/2403.01856
By interpreting a temporal network as a trajectory of a latent graph dynamical system, we introduce the concept of dynamical instability of a temporal network, and construct a measure to estimate the network Maximum Lyapunov Exponent (nMLE) of a temp
Externí odkaz:
http://arxiv.org/abs/2301.12966
Publikováno v:
EPJ Data Sci. 13: 23 (2024)
Automated positioning devices can generate large datasets with information on the movement of humans, animals and objects, revealing patterns of movement, hot spots and overlaps among others. This information is obtained after cleaning the data from
Externí odkaz:
http://arxiv.org/abs/2211.04438
Publikováno v:
Physical Review Research 4, L042008 (2022)
Temporal networks model how the interaction between elements in a complex system evolve over time. Just like complex systems display collective dynamics, here we interpret temporal networks as trajectories performing a collective motion in graph spac
Externí odkaz:
http://arxiv.org/abs/2206.03334
Publikováno v:
Chaos 33, 021103 (2023)
Interactions between COVID-19 and other pathogens may change their dynamics. Specifically, this may hinder the modelling of empirical data when the symptoms of both infections are hard to distinguish. We introduce a model coupling the dynamics of COV
Externí odkaz:
http://arxiv.org/abs/2009.09950
Akademický článek
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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
Publikováno v:
Sci. Rep. 9, 6463 (2019)
Interactions often require the proximity between particles. The movement of particles, thus, drives the change of the neighbors which are located in their proximity, leading to a sequence of interactions. In pathogenic contagion, infections occur thr
Externí odkaz:
http://arxiv.org/abs/1810.07169
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