Zobrazeno 1 - 10
of 22 367
pro vyhledávání: '"Degree distributions"'
Autor:
Kusunoki, Ryota1 (AUTHOR) ryotakusunoki@hotmail.com, Hayashi, Yukio1 (AUTHOR)
Publikováno v:
PLoS ONE. 7/10/2024, Vol. 19 Issue 7, p1-11. 11p.
The weighted planar stochastic (WPS) lattice introduces a topological disorder that emerges from a multifractal structure. Its dual network has a power-law degree distribution and is embedded in a two-dimensional space, forming a planar network. We m
Externí odkaz:
http://arxiv.org/abs/2405.10095
In varying degree distributions, we investigate the optimally robust networks against targeted attacks to nodes with higher degrees. In considering that a network tends to have more robustness with a smaller variance of degree distributions, we clari
Externí odkaz:
http://arxiv.org/abs/2301.06291
Autor:
Mannion, Shane, MacCarron, Pádraig
This work introduces a method for fitting to the degree distributions of complex network datasets, such that the most appropriate distribution from a set of candidate distributions is chosen while maximizing the portion of the distribution to which t
Externí odkaz:
http://arxiv.org/abs/2212.06649
Akademický článek
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Publikováno v:
Physical Review E 106, 064309 (2022)
Perturbations made to networked systems may result in partial structural loss, such as a blackout in a power-grid system. Investigating the resultant disturbance in network properties is quintessential to understand real networks in action. The remov
Externí odkaz:
http://arxiv.org/abs/2205.03887
Motivation: An essential step in developing computational tools for the inference, optimization, and simulation of biochemical reaction networks is gauging tool performance against earlier efforts using an appropriate set of benchmarks. General strat
Externí odkaz:
http://arxiv.org/abs/2202.13004
Autor:
Hu, Xiaohua, Niu, Min
Publikováno v:
In Chaos, Solitons and Fractals: the interdisciplinary journal of Nonlinear Science, and Nonequilibrium and Complex Phenomena November 2023 176
Autor:
Wilson, Larry
Identifying clusters of vertices in graphs continues to be an important problem, and modularity continues to be used as a tool for solving the problem. Modularity, which measures the quality of a division of the vertices into clusters, explicitly tre
Externí odkaz:
http://arxiv.org/abs/2108.13450
Autor:
Stegehuis, Clara, Weedage, Lotte
In this paper, we provide degree distributions for $AB$ random geometric graphs, in which points of type $A$ connect to the closest $k$ points of type $B$. The motivating example to derive such degree distributions is in 5G wireless networks with mul
Externí odkaz:
http://arxiv.org/abs/2104.03711