Critical Boolean networks with scale-free in-degree distribution.

Phys Rev E Stat Nonlin Soft Matter Phys

Institut für Festkörperphysik, Technische Universität Darmstadt, 64289 Darmstadt, Germany.

Published: August 2009

We investigate analytically and numerically the dynamical properties of critical Boolean networks with power-law in-degree distributions and for two choices of update functions. When the exponent of the in-degree distribution is larger than 3, we obtain results equivalent to those obtained for networks with fixed in-degree, e.g., the number of the nonfrozen nodes scales as N(2/3) with the system size N. When the exponent of the distribution is between 2 and 3, the number of the nonfrozen nodes increases as N(x), with x being between 0 and 2/3 and depending on the exponent and on the cutoff of the in-degree distribution. These and ensuing results explain various findings obtained earlier by computer simulations.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevE.80.026102DOI Listing

Publication Analysis

Top Keywords

in-degree distribution
12
critical boolean
8
boolean networks
8
number nonfrozen
8
nonfrozen nodes
8
in-degree
5
networks scale-free
4
scale-free in-degree
4
distribution
4
distribution investigate
4

Similar Publications

Mycobacterium avium subspecies paratuberculosis (MAP) is the causative agent for Johne's disease (JD), a chronic, progressive enteritis in ruminants that may lead to substantial weight loss, reduction in milk yield, and eventual death. Due to the very long incubation period, many cattle are culled before presenting signs of clinical infection. Furthermore, poor sensitivity of diagnostic tests results in subclinically infected cattle contributing to the transmission of JD, but otherwise going undetected.

View Article and Find Full Text PDF

Open-access network science: Investigating phonological similarity networks based on the SUBTLEX-US lexicon.

Behav Res Methods

February 2025

Department of Linguistics, Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada.

Network science tools are becoming increasingly important to psycholinguistics, but few open-access data sets exist for exploring network properties of even well-studied languages like English. We constructed several phonological similarity networks (neighbors differ in exactly one consonant or vowel phoneme) using words from a lexicon based on the SUBTLEX-US English corpus, distinguishing networks by size and word representation (i.e.

View Article and Find Full Text PDF

Antineutrophil cytoplasmic antibody-associated vasculitis (AAV) is a rare autoimmune disease with an unclear pathogenesis. The present study investigated the associations between autophagy-related protein 16-like 1 (ATG16L1) rs2241880(T300A) and rs4663421 and AAV. A total of 177 patients with AAV and 216 healthy controls were included.

View Article and Find Full Text PDF
Article Synopsis
  • * It involved 143 fourth- and fifth-graders and used social network analysis to assess centralities, finding that those with higher closeness in their friendship circles experienced a greater decline in PA over time.
  • * The findings suggest that understanding children's social dynamics is crucial for creating effective PA interventions and recommend further research to account for broader social influences and objective PA measurements.
View Article and Find Full Text PDF

Persistent biological invasions alter ecological network topology, impacting disease transmission during community assembly.

J Theor Biol

December 2024

Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Stellenbosch 7602, South Africa; Mathematical Biosciences Unit, African Institute for Mathematical Sciences, Cape Town 7945, South Africa; International Initiative for Theoretical Ecology, London N1 2EE, United Kingdom. Electronic address:

Ecological networks experiencing persistent biological invasions may exhibit distinct topological properties, complicating the understanding of how network topology affects disease transmission during invasion-driven community assembly. We developed a trait-based network model to assess the impact of network topology on disease transmission, measured as community- and species-level disease prevalence. We found that trait-based feeding interactions between host species determine the frequency distribution of the niche of co-occurring species in steady-state communities, being either bimodal or multimodal.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!