activity
20162026
collaborators
Showing cs.GTShow all

7 papers · 1 filter

cs.GT2026

Decision-Focused Learning in Network Interdiction Games

Luca M. Hartmann, Parinaz Naghizadeh

We study decision-focused learning (DFL) in shortest-path network interdiction (SPNI) games, a Stackelberg game where an interdictor (leader) strengthens the networks' arcs against…

cs.GT2026

Coordination Games on Multiplex Networks: Consensus, Convergence, and Stability of Opinion Dynamics

Ruey-An Shiu, Parinaz Naghizadeh

This paper studies opinion dynamics in multilayer networks. Extending a single-layer model, we formulate opinion updates as a synchronous coordination game in which agents minimize…

cs.GT2025

Reactive Users vs. Social Recommender Systems: Managing Opinion Drifts with Adaptive Policies

Atefeh Mollabagher, Parinaz Naghizadeh

Recommendation systems are used in a range of platforms to maximize user engagement through personalization, promotion of popular content, and the use of information from social ne…

cs.GT2024

United We Fall: On the Nash Equilibria of Multiplex and Multilayer Network Games

Raman Ebrahimi, Parinaz Naghizadeh

Network games provide a framework to study strategic decision making processes that are governed by structured interdependencies among agents. However, existing models do not accou…

cs.GT2018

Adversarial Contract Design for Private Data Commercialization

Parinaz Naghizadeh, Arunesh Sinha

The proliferation of data collection and machine learning techniques has created an opportunity for commercialization of private data by data aggregators. In this paper, we study t…

cs.GT2016

Provision of Public Goods on Networks: On Existence, Uniqueness, and Centralities

Parinaz Naghizadeh, Mingyan Liu

We consider the provision of public goods on networks of strategic agents. We study different effort outcomes of these network games, namely, the Nash equilibria, Pareto efficient…