We study a recent model of random networks based on the presence of an intrinsic character of the vertices called fitness. The vertex fitnesses are drawn from a given probability distribution density. The edges between pairs of vertices are drawn according to a linking probability function depending on the fitnesses of the two vertices involved. We study here different choices for the probability distribution densities and the linking functions. We find that, irrespective of the particular choices, the generation of scale-free networks is straightforward. We then derive the general conditions under which scale-free behavior appears. This model could then represent a possible explanation for the ubiquity and robustness of such structures.
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http://dx.doi.org/10.1103/PhysRevE.70.056126 | DOI Listing |
Chaos
January 2025
International Research Center for Neurointelligence, The University of Tokyo Institutes for Advanced Study, The University of Tokyo, Bunkyo Ku, Tokyo 113 8654, Japan.
We investigate the aging transition in networks of excitable and self-oscillatory units as the fraction of inherently excitable units increases. Two network topologies are considered: a scale-free network with weighted pairwise interactions and a two-dimensional simplicial complex with weighted scale-free pairwise and triadic interactions. Without triadic interactions, the aging transition from collective oscillations to oscillation death (inhomogeneous stationary states) can occur either suddenly or through an intermediate state of partial oscillation.
View Article and Find Full Text PDFNetw Neurosci
December 2024
Department of Biomedical Engineering, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, VIC, Australia.
Connectome generative models, otherwise known as generative network models, provide insight into the wiring principles underpinning brain network organization. While these models can approximate numerous statistical properties of empirical networks, they typically fail to explicitly characterize an important contributor to brain organization-axonal growth. Emulating the chemoaffinity-guided axonal growth, we provide a novel generative model in which axons dynamically steer the direction of propagation based on distance-dependent chemoattractive forces acting on their growth cones.
View Article and Find Full Text PDFPeerJ Comput Sci
October 2024
Universidad Europea del Atlántico, Santander, Spain.
The Internet of Things (IoT) is a sophisticated network of objects embedded with electronic systems that enable devices to collect and exchange data. IoT is a recent trending leading technology and changing the way we live. However, it has several challenges especially efficiency, architecture, complexity, and network topology.
View Article and Find Full Text PDFCan J Infect Dis Med Microbiol
November 2024
School of Clinical Medicine, Hangzhou Normal University, The Affiliated Hospital of Hangzhou Normal University, Hangzhou 311121, Zhejiang, China.
Intestinal barrier injury contributes to multiple diseases such as obesity and diabetes, whereas no treatment options are available. Due to close interactions between mucosal microbiome and intestinal barrier, we evaluated the potential of mucosal bacteria in providing targets for high-fat diet (HFD)-related intestinal barrier injury. Whole-genome metagenomics was used to evaluate mucosal microbiome, while intestinal barrier injury was estimated using serum LPS, FITC-dextran intensity, and ZO-1 protein.
View Article and Find Full Text PDFSci Rep
November 2024
Department of Mathematics, School of Natural Science, Shiv Nadar Institution of Eminence, NH-91, Greater Noida, Uttar Pradesh, 201314, India.
In today's interconnected world, the spread of information is closely linked to infectious disease dynamics. Public awareness plays a crucial role, as individual vaccination decisions significantly impact collective efforts to combat emerging health threats. This study explores disease transmission within a framework integrating social connections, information sharing, and individual vaccination decisions.
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