Unknown

Dataset Information

0

Percolation in networks with local homeostatic plasticity.


ABSTRACT: Percolation is a process that impairs network connectedness by deactivating links or nodes. This process features a phase transition that resembles paradigmatic critical transitions in epidemic spreading, biological networks, traffic and transportation systems. Some biological systems, such as networks of neural cells, actively respond to percolation-like damage, which enables these structures to maintain their function after degradation and aging. Here we study percolation in networks that actively respond to link damage by adopting a mechanism resembling synaptic scaling in neurons. We explain critical transitions in such active networks and show that these structures are more resilient to damage as they are able to maintain a stronger connectedness and ability to spread information. Moreover, we uncover the role of local rescaling strategies in biological networks and indicate a possibility of designing smart infrastructures with improved robustness to perturbations.

SUBMITTER: Rapisardi G 

PROVIDER: S-EPMC8748765 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC4559467 | biostudies-literature
| S-EPMC7958921 | biostudies-literature
| S-EPMC5691044 | biostudies-literature
| S-EPMC4589777 | biostudies-literature
| S-EPMC6200722 | biostudies-literature
| S-EPMC3062991 | biostudies-literature
| S-EPMC3136313 | biostudies-other
| S-EPMC3021034 | biostudies-literature
2017-04-05 | PXD004150 | Pride
| S-EPMC6345799 | biostudies-other