Manipulation of extreme events on scale-free networks

TL;DR

This paper demonstrates how adjusting nodal capacity in scale-free networks can influence the probability and distribution of extreme events, offering insights for network design to mitigate such events effectively.

Contribution

It reveals that tuning nodal capacity can manipulate extreme event occurrences and highlights the non-linear effects of capacity enhancements on reducing these events.

Findings

Adjusting nodal capacity affects extreme event probabilities.

Beyond a certain capacity, further increases do not significantly reduce events.

Practical implications for designing more resilient networks.

Abstract

Extreme events taking place on networks are not uncommon. We show that it is possible to manipulate the extreme events occurrence probabilities and its distribution over the nodes on scale-free networks by tuning the nodal capacity. This can be used to reduce the number of extreme events occurrences on a network. However monotonic nodal capacity enhancements, beyond a point, do not lead to any substantial reduction in the number of extreme events. We point out the practical implication of this result for network design in the context of reducing extreme events occurrences.