Random growth scale-free networked models with an identical degree distribution and a tunable assortativity index-Reference-Cited by-同舟云学术

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Random growth scale-free networked models with an identical degree distribution and a tunable assortativity index

Published:2022-01 Issue:1 Volume:32 Page:013132
ISSN:1054-1500
Container-title:Chaos: An Interdisciplinary Journal of Nonlinear Science
language:en
Short-container-title:Chaos

Author:

Luo Xudong¹^ORCID,Ma Fei²^ORCID,Xu Wentao³^ORCID

Affiliation:

1. College of Mathematics and Statistics, Northwest Normal University, Lanzhou 730070, China

2. School of Electronics Engineering and Computer Science, Peking University, Beijing 100871, China

3. School of Earth Sciences and Engineering, Nanjing University, Nanjing 210023, China

Funder

National Natural Science Foundation of China

“Innovation Star” of Gansu Provincial Department of Education

Nanjing University Innovation Program for PhD candidate

Publisher

AIP Publishing

Subject

Applied Mathematics,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0072341

Reference60 articles.

2. Classes of small-world networks

3. Time-delayed Kuramoto model in the Watts–Strogatz small-world networks

4. Efficient Behavior of Small-World Networks

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1. Emergence of dense scale-free networks and simplicial complexes by random degree-copying;Journal of Complex Networks;2023-11-07

2. Critical transition of thermal rectification on complex networks;Chaos: An Interdisciplinary Journal of Nonlinear Science;2023-08-01

3. A method to calculate the number of spanning connected unicyclic(bicyclic) subgraphs in 2-separable networks;Theoretical Computer Science;2022-06

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