Results 1 to 10 of about 1,732,021 (308)

On the Degree Distribution of Haros Graphs [PDF]

open access: yesMathematics, 2022
Haros graphs are a graph-theoretical representation of real numbers in the unit interval. The degree distribution of the Haros graphs provides information regarding the topological structure and the associated real number.
Jorge Calero-Sanz
doaj   +5 more sources

Altered Weibull Degree Distribution in Resting-State Functional Brain Networks Is Associated With Cognitive Decline in Mild Cognitive Impairment [PDF]

open access: yesFrontiers in Aging Neuroscience, 2021
The topological organization of human brain networks can be mathematically characterized by the connectivity degree distribution of network nodes. However, there is no clear consensus on whether the topological structure of brain networks follows a power
Yifei Zhang   +18 more
doaj   +2 more sources

The role of degree distribution in shaping the dynamics in networks of sparsely connected spiking neurons [PDF]

open access: yesFrontiers in Computational Neuroscience, 2011
Neuronal network models often assume a fixed probability of connectionbetween neurons. This assumption leads to random networks withbinomial in-degree and out-degree distributions which are relatively narrow.
Alex eRoxin
doaj   +2 more sources

Asymptotic Degree Distributions in Random Threshold Graphs [PDF]

open access: yesEntropy
We discuss several limiting degree distributions for a class of homogeneous random graphs, known as random threshold graphs, in the many node regime.
Armand M. Makowski, Siddharth Pal
doaj   +2 more sources

Design and Analysis of LT Codes With a Reverse Coding Framework

open access: yesIEEE Access, 2021
In this paper, an improved LT code with a reverse coding framework is designed to reduce the error floor caused by low-degree information nodes. For the proposed coding scheme, a well-designed threshold is used to mark the information nodes whose degrees
Xin Song   +4 more
doaj   +1 more source

The Random Plots Graph Generation Model for Studying Systems with Unknown Connection Structures

open access: yesEntropy, 2022
We consider the problem of modeling complex systems where little or nothing is known about the structure of the connections between the elements. In particular, when such systems are to be modeled by graphs, it is unclear what vertex degree distributions
Evgeny Ivanko, Mikhail Chernoskutov
doaj   +1 more source

A Mixture Model of Truncated Zeta Distributions with Applications to Scientific Collaboration Networks

open access: yesEntropy, 2021
The degree distribution has attracted considerable attention from network scientists in the last few decades to have knowledge of the topological structure of networks. It is widely acknowledged that many real networks have power-law degree distributions.
Hohyun Jung, Frederick Kin Hing Phoa
doaj   +1 more source

Degree Distributions of Growing Networks [PDF]

open access: yesPhysical Review Letters, 2001
Physical Review ...
Krapivsky, PL, Rodgers, GJ, Redner, S
openaire   +4 more sources

Influence of reciprocal edges on degree distribution and degree correlations [PDF]

open access: yesPhysical Review E, 2009
Reciprocal edges represent the lowest-order cycle possible to find in directed graphs without self-loops. Representing also a measure of feedback between vertices, it is interesting to understand how reciprocal edges influence other properties of complex networks.
Štefančić, Hrvoje, Zlatić, Vinko
openaire   +2 more sources

An Exact and an Approximation Method to Compute the Degree Distribution of Inhomogeneous Random Graph Using Poisson Binomial Distribution

open access: yesMathematics, 2023
Inhomogeneous random graphs are commonly used models for complex networks where nodes have varying degrees of connectivity. Computing the degree distribution of such networks is a fundamental problem and has important applications in various fields.
Róbert Pethes, Levente Kovács
doaj   +1 more source

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