The time evolution of a random graph with varying number of edges and vertices is considered. The edges and vertices are assumed to be added at random by one at a time with different rates. A fresh edge connects either two linked components and forms a new component of larger order g (coalescence of graphs) or increases (by one) the number of edges in a given linked component (cycling). Assuming the vertices to have a finite valence (the number of edges connected with a given vertex is limited) the kinetic equation for the distribution of linked components of the graph over their orders and valences is formulated and solved exactly by applying the generating function method for the case of coalescence of trees. The evolution process is shown to reveal a phase transition: the emergence of a giant linked component whose order is comparable to the total order of the graph. The time dependencies of the moments of the distribution of linked components over their orders and valences are found explicitly for the pregelation period and the critical behavior of the spectrum is analyzed. It is found that the linked components are γ distributed over g with the algebraic prefactor g-5/2. The coalescence process is shown to terminate by the formation of the steady-state γ spectrum with the same algebraic prefactor.
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http://dx.doi.org/10.1103/PhysRevE.92.022135 | DOI Listing |
Microbiome
January 2025
Department of Medicine, University of Toronto, Toronto, Canada.
Background: Genital inflammation increases HIV susceptibility and is associated with the density of pro-inflammatory anaerobes in the vagina and coronal sulcus. The penile urethra is a critical site of HIV acquisition, although correlates of urethral HIV acquisition are largely unknown. While Streptococcus mitis is a consistent component of the urethral flora, the presence of Gardnerella vaginalis has been linked with prior penile-vaginal sex and urethral inflammation.
View Article and Find Full Text PDFEMBO J
January 2025
Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen, Guangdong, 518107, China.
Ferroptosis, an iron-dependent form of programmed cell death characterized by excessive lipid hydroperoxides accumulation, emerges as a promising target in cancer therapy. Among the solute carrier (SLC) superfamily, the cystine/glutamate transporter system antiporter components SLC3A2 and SLC7A11 are known to regulate ferroptosis by facilitating cystine import for ferroptosis inhibition. However, the contribution of additional SLC superfamily members to ferroptosis remains poorly understood.
View Article and Find Full Text PDFJ Neurosci
January 2025
The Gonda Multidisciplinary Brain Research Center, Bar Ilan University, Ramat Gan, 52900, Israel
Time persistence is a fundamental property of many complex physical and biological systems; thus understanding the phenomenon in the brain is of high importance. Time persistence has been explored at the level of stand-alone neural time-series, but since the brain functions as an interconnected network, it is essential to examine time persistence at the network level. Changes in resting-state networks have been previously investigated using both dynamic (i.
View Article and Find Full Text PDFJ Biol Chem
January 2025
Biochemistry & Molecular Biology, Colorado State University, Fort Collins, CO 80523, USA; Molecular, Cellular & Integrated Neurosciences, Colorado State University, Fort Collins, CO 80523, USA; Cell & Molecular Biology, Colorado State University, Fort Collins, CO 80523, USA. Electronic address:
The Shab family voltage-gated K channels (i.e., Kv2.
View Article and Find Full Text PDFAlzheimers Dement
January 2025
Department of Radiology, China-Japan Friendship Hospital, Beijing, China.
Introduction: The link between overload brain iron and transcriptional/cellular signatures in Alzheimer's disease (AD) remains inconclusive.
Methods: Iron deposition in 41 cortical and subcortical regions of 30 AD patients and 26 healthy controls (HCs) was measured using quantitative susceptibility mapping (QSM). The expression of 15,633 genes was estimated in the same regions using transcriptomic data from the Allen Human Brain Atlas (AHBA).
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