Zobrazeno 1 - 10
of 161
pro vyhledávání: '"James P Gleeson"'
Publikováno v:
PLoS ONE, Vol 16, Iss 3, p e0246698 (2021)
In all competitions where results are based upon an individual's performance the question of whether the outcome is a consequence of skill or luck arises. We explore this question through an analysis of a large dataset of approximately one million co
Externí odkaz:
https://doaj.org/article/e2736945d6864169a382e3c39244d71e
Autor:
Pádraig MacCarron, Paul J Maher, Susan Fennell, Kevin Burke, James P Gleeson, Kevin Durrheim, Michael Quayle
Publikováno v:
PLoS ONE, Vol 15, Iss 6, p e0233995 (2020)
Shared opinions are an important feature in the formation of social groups. In this paper, we use the Axelrod model of cultural dissemination to represent opinion-based groups. In the Axelrod model, each agent has a set of features which each holds o
Externí odkaz:
https://doaj.org/article/21af6c13525f46f286c80cf316ea666e
Publikováno v:
New Journal of Physics, Vol 22, Iss 6, p 063037 (2020)
Networks are universally considered as complex structures of interactions of large multi-component systems. To determine the role that each node has inside a complex network, several centrality measures have been developed. Such topological features
Externí odkaz:
https://doaj.org/article/c36c4809c7024b2690444f124c81c37c
Publikováno v:
PLoS ONE, Vol 12, Iss 2, p e0170579 (2017)
We introduce a probabilistic framework that represents stylized banking networks with the aim of predicting the size of contagion events. Most previous work on random financial networks assumes independent connections between banks, whereas our frame
Externí odkaz:
https://doaj.org/article/6226038d4c314cf0b99c4c1c99b10489
Publikováno v:
New Journal of Physics, Vol 21, Iss 2, p 025001 (2019)
A model for the spreading of online information or ‘memes’ on multiplex networks is introduced and analyzed using branching-process methods. The model generalizes that of (Gleeson et al 2016 Phys. Rev. X) in two ways. First, even for a monoplex (
Externí odkaz:
https://doaj.org/article/ef1e38c6a96c42bba085742ab003c2ab
Publikováno v:
Scientific Reports. 13
We consider the analysis of temporal data arising from online interactive social experiments, which is complicated by the fact that classical independence assumptions about the observations are not satisfied. Therefore, we propose an approach that co
Mean-field equations have been developed recently to approximate the dynamics of the Deffuant model of opinion formation. These equations can describe both fully mixed populations and the case where individuals interact only along edges of a network.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64e0a4f08f1bc567db8172d403ae1372
Publikováno v:
Entropy, Vol 23, Iss 1, p 36 (2020)
Synchronization is an important behavior that characterizes many natural and human made systems that are composed by several interacting units. It can be found in a broad spectrum of applications, ranging from neuroscience to power-grids, to mention
Externí odkaz:
https://doaj.org/article/b06e2267b2e347b78f7ec6df362f6ca8
Autor:
Mansoureh Shasti, James. T. Gleeson, Paul Luchette, Tamas Kosa, Antonio F. Munoz, Bahman Taheri
Publikováno v:
AIP Advances, Vol 8, Iss 9, Pp 095207-095207-9 (2018)
Electro-optic properties of dynamic scattering in homeotropically aligned pure and dichroic dye doped nematic liquid crystal samples are examined. The optical properties of the two systems are quantified using transmission properties of scattered and
Externí odkaz:
https://doaj.org/article/ea0cf75f7359423eb1860642fb9df1de
Publikováno v:
Chaos (Woodbury, N.Y.). 32(1)
The emergence of order in collective dynamics is a fascinating phenomenon that characterizes many natural systems consisting of coupled entities. Synchronization is such an example where individuals, usually represented by either linear or nonlinear