Analysis and interventions in large network games

F Parise, A Ozdaglar - Annual Review of Control, Robotics, and …, 2021 - annualreviews.org
We review classic results and recent progress on equilibrium analysis, dynamics, and
optimal interventions in network games with both continuous and discrete strategy sets. We …

Threshold models of cascades in large-scale networks

WS Rossi, G Como, F Fagnani - IEEE Transactions on Network …, 2017 - ieeexplore.ieee.org
The spread of new beliefs, behaviors, conventions, norms, and technologies in social and
economic networks are often driven by cascading mechanisms, and so are contagion …

Cascading failures in interdependent systems: Impact of degree variability and dependence

RJ La - IEEE Transactions on Network Science and …, 2017 - ieeexplore.ieee.org
We study cascading failures in a system comprising interdependent networks/systems, in
which nodes rely on other nodes both in the same system and in other systems to perform …

[HTML][HTML] Contagion in graphons

S Erol, F Parise, A Teytelboym - Journal of Economic Theory, 2023 - Elsevier
The analysis of threshold contagion processes in large networks is challenging. While the
lack of accurate network data is often a major obstacle, finding optimal interventions is …

Influence of clustering on cascading failures in interdependent systems

RJ La - IEEE Transactions on Network Science and …, 2018 - ieeexplore.ieee.org
We study the influence of clustering, more specifically triangles, on cascading failures in
interdependent networks or systems, in which we model the dependence between …

Optimal targeting in super-modular games

G Como, S Durand, F Fagnani - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We study an optimal targeting problem for super-modular games with binary actions and
finitely many players. The considered problem consists in the selection of a subset of players …

Robust coordination of linear threshold dynamics on directed weighted networks

L Arditti, G Como, F Fagnani… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
We study dynamics in a network of interacting agents updating their binary states according
to a time-varying threshold rule. Specifically, agents revise their state asynchronously by …

A Study of Phase Transition in New Random Graph Families

M Moharrami - 2020 - deepblue.lib.umich.edu
Random graphs are mathematical models for understanding real-world networks. Important
properties can be captured, processes studied, and rigorous predictions made. Phase …