Enhancing resilience of interdependent networks by healing

Stippinger, Marcell; Kertész, János
The interdependence via dependency links between two networks is known to lead to cascading failures and catastrophic breakdowns. In real-life, effort is made to rearrange the load of failing elements among functioning ones. Motivated by this, we introduce the possibility of link formation, controlled by a tunable parameter, to bridge non-functioning nodes and enhance network resilience. We define a dynamic model, where random failures are gradually introduced after the system has relaxed and present simulation results for square lattice networks under random attacks of constant intensity. We find that the increase in the lifetime has a power-law scaling as a function of the healing probability with an exponent close to 1. Below a critical healing probability, catastrophic cascades form and the average degree decreases monotonously, while above this value there are no macroscopic cascades and the average degree has first an increasing character and decreases only at the very late stage of the process.
Research areas:
Type of Publication:
Physica A
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