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Tipping points of a complex network biomass model: Local and global parameter variations

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  • Moghadam, Nastaran Navid
  • Ramamoorthy, Ramesh
  • Nazarimehr, Fahimeh
  • Rajagopal, Karthikeyan
  • Jafari, Sajad

Abstract

Researchers are eager to understand how real-world systems respond to environmental parameter changes, especially in complex networks. In biological systems like genetic networks or ecological systems, the presence of agents in the networks has been proved. Hence, studying the tipping points and finding a way to manage them can prevent the extinction of natural networks. In this paper, the tipping points of a network of the biomass model are studied. Two cases are discussed for the bifurcations of the network. In the first case, the parameters of the nodes are varied globally, and their bifurcations are studied in various cases of parameter changings. In the second case, the parameters are changed locally, and the tipping points’ propagation through the neighbor nodes is discussed. However, the focus of the paper is on the bifurcations of the complex network model; we hope that this study can help understand the tipping points of real-world complex systems.

Suggested Citation

  • Moghadam, Nastaran Navid & Ramamoorthy, Ramesh & Nazarimehr, Fahimeh & Rajagopal, Karthikeyan & Jafari, Sajad, 2022. "Tipping points of a complex network biomass model: Local and global parameter variations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).
    • Handle: RePEc:eee:phsmap:v:592:y:2022:i:c:s0378437121009997
    DOI: 10.1016/j.physa.2021.126845
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