Robustness of Consensus of Two-Layer Ring Networks

The topology structure of multi-layer networks is highly correlated with the robustness of consensus. This paper investigates the influence of different interlayer edge connection patterns on the consensus of the two-layer ring networks. Two types of two-layer ring network models are first considere...

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Main Authors: Zhijun Li, Haiping Gao, Zhiyong Shang, Wenming Zhang
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/15/5/1085
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author Zhijun Li
Haiping Gao
Zhiyong Shang
Wenming Zhang
author_facet Zhijun Li
Haiping Gao
Zhiyong Shang
Wenming Zhang
author_sort Zhijun Li
collection DOAJ
description The topology structure of multi-layer networks is highly correlated with the robustness of consensus. This paper investigates the influence of different interlayer edge connection patterns on the consensus of the two-layer ring networks. Two types of two-layer ring network models are first considered: one is a kind of two-layer ring network with two linked edges between layers (Networks-a), and the other is a kind of two-layer ring network with three linked edges between layers (Networks-b). Using the Laplacian spectrum, the consensus of the network model is derived. The simulation experiments are used to demonstrate the influence of different interlayer edge connection patterns on the consensus of networks. To determine the best edge connection pattern for Networks-a and Networks-b, the number of nodes in a single-layer ring network is denoted by <i>n</i>. The best edge connection pattern for Networks-a is 1 & <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>[</mo><mo>(</mo><mi>n</mi><mo>+</mo><mn>2</mn><mo>)</mo><mo>/</mo><mn>2</mn><mo>]</mo></mrow></semantics></math></inline-formula>. Furthermore, <i>n</i> is subdivided into <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>3</mn><mi>k</mi><mo>,</mo><mn>3</mn><mi>k</mi><mo>+</mo><mn>1</mn><mo>,</mo><mn>3</mn><mi>k</mi><mo>+</mo><mn>2</mn></mrow></semantics></math></inline-formula>, and the best edge connection patterns of Networks-b are near 1 & <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>k</mi><mo>+</mo><mn>1</mn></mrow></semantics></math></inline-formula> & <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2</mn><mi>k</mi><mo>+</mo><mn>1</mn></mrow></semantics></math></inline-formula>.
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spelling doaj.art-7496d90e346843a28de038ac0be1b96b2023-11-18T03:30:43ZengMDPI AGSymmetry2073-89942023-05-01155108510.3390/sym15051085Robustness of Consensus of Two-Layer Ring NetworksZhijun Li0Haiping Gao1Zhiyong Shang2Wenming Zhang3Academic Affairs Office, Xinjiang Institute of Light Industry Technology, Urumqi 830023, ChinaDepartment of Basic Science, Xinjiang Institute of Light Industry Technology, Urumqi 830023, ChinaMechanical Engineering Laboratory, Xinjiang Institute of Engineering, Urumqi 830023, ChinaDepartment of Information and Software, Xinjiang Institute of Light Industry Technology, Urumqi 830023, ChinaThe topology structure of multi-layer networks is highly correlated with the robustness of consensus. This paper investigates the influence of different interlayer edge connection patterns on the consensus of the two-layer ring networks. Two types of two-layer ring network models are first considered: one is a kind of two-layer ring network with two linked edges between layers (Networks-a), and the other is a kind of two-layer ring network with three linked edges between layers (Networks-b). Using the Laplacian spectrum, the consensus of the network model is derived. The simulation experiments are used to demonstrate the influence of different interlayer edge connection patterns on the consensus of networks. To determine the best edge connection pattern for Networks-a and Networks-b, the number of nodes in a single-layer ring network is denoted by <i>n</i>. The best edge connection pattern for Networks-a is 1 & <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>[</mo><mo>(</mo><mi>n</mi><mo>+</mo><mn>2</mn><mo>)</mo><mo>/</mo><mn>2</mn><mo>]</mo></mrow></semantics></math></inline-formula>. Furthermore, <i>n</i> is subdivided into <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>3</mn><mi>k</mi><mo>,</mo><mn>3</mn><mi>k</mi><mo>+</mo><mn>1</mn><mo>,</mo><mn>3</mn><mi>k</mi><mo>+</mo><mn>2</mn></mrow></semantics></math></inline-formula>, and the best edge connection patterns of Networks-b are near 1 & <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>k</mi><mo>+</mo><mn>1</mn></mrow></semantics></math></inline-formula> & <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2</mn><mi>k</mi><mo>+</mo><mn>1</mn></mrow></semantics></math></inline-formula>.https://www.mdpi.com/2073-8994/15/5/1085multi-layer ring networktopology structureconsensusrobustnessedge connection patterns
spellingShingle Zhijun Li
Haiping Gao
Zhiyong Shang
Wenming Zhang
Robustness of Consensus of Two-Layer Ring Networks
Symmetry
multi-layer ring network
topology structure
consensus
robustness
edge connection patterns
title Robustness of Consensus of Two-Layer Ring Networks
title_full Robustness of Consensus of Two-Layer Ring Networks
title_fullStr Robustness of Consensus of Two-Layer Ring Networks
title_full_unstemmed Robustness of Consensus of Two-Layer Ring Networks
title_short Robustness of Consensus of Two-Layer Ring Networks
title_sort robustness of consensus of two layer ring networks
topic multi-layer ring network
topology structure
consensus
robustness
edge connection patterns
url https://www.mdpi.com/2073-8994/15/5/1085
work_keys_str_mv AT zhijunli robustnessofconsensusoftwolayerringnetworks
AT haipinggao robustnessofconsensusoftwolayerringnetworks
AT zhiyongshang robustnessofconsensusoftwolayerringnetworks
AT wenmingzhang robustnessofconsensusoftwolayerringnetworks