Results 51 to 60 of about 1,692,270 (273)

Scale-Free Dynamics in Animal Groups and Brain Networks

open access: yesFrontiers in Systems Neuroscience, 2021
Collective phenomena fascinate by the emergence of order in systems composed of a myriad of small entities. They are ubiquitous in nature and can be found over a vast range of scales in physical and biological systems.
Tiago L. Ribeiro   +3 more
doaj   +1 more source

Structural transitions in scale-free networks [PDF]

open access: yes, 2002
Real growing networks like the WWW or personal connection based networks are characterized by a high degree of clustering, in addition to the small-world property and the absence of a characteristic scale.
A. Vázquez   +22 more
core   +2 more sources

Coevolutionary dynamics on scale-free networks [PDF]

open access: yes, 2005
We investigate Bak-Sneppen coevolution models on scale-free networks with various degree exponents $\gamma$ including random networks. For $\gamma >3$, the critical fitness value $f_c$ approaches to a nonzero finite value in the limit $N \to \infty ...
R. J. Williams, Sungmin Lee, Yup Kim
core   +1 more source

Propagation of Bankruptcy Risk over Scale-Free Economic Networks

open access: yesEntropy, 2022
The propagation of bankruptcy-induced shocks across domestic and global economies is sometimes very dramatic; this phenomenon can be modelled as a dynamical process in economic networks.
Joseph Andria   +2 more
doaj   +1 more source

A surrogate for networks—How scale-free is my scale-free network? [PDF]

open access: yesIEICE Proceeding Series, 2014
Complex networks are now being studied in a wide range of disciplines across science and technology. In this paper we propose a method by which one can probe the properties of experimentally obtained network data. Rather than just measuring properties of a network inferred from data, we aim to ask how typical is that network?
Small, Michael   +2 more
openaire   +2 more sources

Planar growth generates scale free networks [PDF]

open access: yes, 2016
In this paper we introduce a model of spatial network growth in which nodes are placed at randomly selected locations on a unit square in $\mathbb{R}^2$, forming new connections to old nodes subject to the constraint that edges do not cross.
Brede, Markus   +2 more
core   +4 more sources

Subnets of scale-free networks are not scale-free: Sampling properties of networks [PDF]

open access: yesProceedings of the National Academy of Sciences, 2005
Most studies of networks have only looked at small subsets of the true network. Here, we discuss the sampling properties of a network's degree distribution under the most parsimonious sampling scheme. Only if the degree distributions of the network and randomly sampled subnets belong to the same family of probability distributions is it possible to ...
Stumpf, MPH, Wiuf, Carsten, May, RM
openaire   +3 more sources

Scale-free networks without growth

open access: yes, 2005
In this letter, we proposed an ungrowing scale-free network model, wherein the total number of nodes is fixed and the evolution of network structure is driven by a rewiring process only.
Albert   +33 more
core   +1 more source

Boolean Game on Scale-free Networks

open access: yes, 2006
Inspired by the local minority game, we propose a network Boolean game and investigate its dynamical properties on scale-free networks. The system can self-organize to a stable state with better performance than random choice game, although only the ...
Albert   +53 more
core   +1 more source

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács   +8 more
wiley   +1 more source

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