journal article·2024-03-01Open access

The Laplacian spectrum of weighted composite networks and the applications

Jian Zhu, Da Huang, Haiping Gao, Xianyong Li

AIP Advances· Volume 14· Issue 3

Abstract

The topological properties of the networks can be described by the Laplacian spectra, but resolving the Laplacian spectra of networks poses difficulties. In this study, a novel approach for solving the Laplacian spectrum of weighted composite networks is presented. We first give the definitions of three weighted graph operations, namely, Cartesian product, corona, and join. Second, the Laplacian spectra of these composite networks are calculated. Finally, we use the obtained Laplacian spectrum to deduce some topological properties of the networks, such as network coherence, entire mean first-passage time, and Laplacian energy, which have several applications in physical chemistry.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Graph theory and applications · Matrix Theory and Algorithms · Spectral Theory in Mathematical Physics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mathematics and Physics, Xinjiang Institute of Engineering 1 , Urumqi 830023, Xinjiang, China

School of Mathematics, China University of Mining and Technology 2 , Xuzhou 221116, Jiangsu, China

Department of Basic Science, Xinjiang Institute of Light Industry Technology 3 , Urumqi 830023, Xinjiang, China

Department of Computer and Software Engineering, Xihua University 4 , Chengdu 610039, Sichuan, China

References (33)

Show source-provided references
1. On improved fitting using a new probability distribution and artificial neural network: Application10.1063/5.0176715 ↗
2. Comparison analysis on vulnerability of metro networks based on complex network10.1016/j.physa.2017.12.094 ↗
3. Coordination and control of complex network systems with switching topologies: A survey10.1109/tsmc.2019.2961753 ↗
4. Fast terminal sliding mode control of agricultural robots with permanent magnet synchronous motor servo systems based on an extended state observer for path tracking10.1063/5.0179429 ↗
5. Fractional-order financial system and fixed-time synchronization10.3390/fractalfract6090507 ↗
6. Research on control strategy of dual active full bridge converter based on deep deterministic strategy gradient10.1063/5.0180348 ↗
7. Laplacian networks: Growth, local symmetry, and shape optimization10.1103/physreve.95.033113 ↗
8. A new complex mapping method of neural networks used in sound source localization10.1063/5.0180758 ↗
9. Time cost for consensus of stochastic multiagent systems with pinning control10.1109/tsmc.2022.3166779 ↗
10. Constrained consensus in state-dependent directed multiagent networks10.1109/tnse.2022.3201187 ↗
11. Leader-follower coherence in noisy ring-trees networks10.1007/s11071-020-06011-9 ↗
12. Synchronizability of multilayer directed Dutch windmill networks10.3390/fractalfract6100537 ↗
13. Synchronizability of multilayer networks with K-nearest-neighbor topologies10.3389/fphy.2020.571507 ↗
14. Synchronizability of multi-layer variable coupling windmill-type networks10.3390/math9212721 ↗
15. On the role of hubs in the coherence of unicyclic and bicyclic networks10.1142/s0129183123501437 ↗
16. Topology design for leader-follower coherence in noisy asymmetric networks10.1088/1402-4896/aca9a3 ↗
17. Network coherence of weighted duplex networks: Exact results10.1142/s0129183122501303 ↗
18. On energy and Laplacian energy of chain graphs10.1016/j.dam.2020.03.057 ↗
19. Applications of Laplacian spectra for n-prism networks10.1016/j.neucom.2015.06.109 ↗
20. Leader-follower coherence of the weighted recursive tree networks10.1142/s0218348x22500499 ↗
21. On Laplacian energy of r-uniform hypergraphs10.3390/sym15020382 ↗
22. Kirchhoff index of composite graphs10.1016/j.dam.2009.03.007 ↗
23. Study on adjacent spectrum of two kinds of joins of graphs10.1142/s0217984920501791 ↗
24. On the generalized adjacency, Laplacian and signless Laplacian spectra of the weighted edge corona networks10.1016/j.physa.2019.123073 ↗
25. Coherence analysis of a class of weighted networks10.1063/1.4997059 ↗
26. Weighted network modules10.1088/1367-2630/9/6/180 ↗
27. Resistance distances in composite graphs10.1088/1751-8113/47/37/375203 ↗
28. Recovering the structural observability of composite networks via Cartesian product10.1109/tsipn.2020.2967145 ↗
29. Consensus analysis of the weighted corona networks10.3389/fphy.2022.948247 ↗
30. Consensus and coherence in fractal networks10.1109/tcns.2014.2357552 ↗
31. Determining entire mean first-passage time for Cayley networks10.1142/s0129183118500092 ↗
32. Synchronizability of duplex networks10.1109/tcsii.2015.2468924 ↗
33. Eigenvalue spectrum and synchronizability of multiplex chain networks10.1016/j.physa.2019.122631 ↗