From duels to battlefields: Computing equilibria of Blotto and other games
AM Ahmadinejad, S Dehghani… - Mathematics of …, 2019 - pubsonline.informs.org
In the well-studied Colonel Blotto game, players must divide a pool of troops among a set of
battlefields with the goal of winning a majority. Despite the importance of this game, only a …
battlefields with the goal of winning a majority. Despite the importance of this game, only a …
Friedkin-johnsen model for opinion dynamics on signed graphs
A signed graph offers richer information than an unsigned graph, since it describes both
collaborative and competitive relationships in social networks. In this paper, we study …
collaborative and competitive relationships in social networks. In this paper, we study …
Opinion optimization in directed social networks
Shifting social opinions has far-reaching implications in various aspects, such as public
health campaigns, product marketing, and political candidates. In this paper, we study a …
health campaigns, product marketing, and political candidates. In this paper, we study a …
Open-loop equilibrium strategies for dynamic influence maximization game over social networks
SR Etesami - IEEE Control Systems Letters, 2021 - ieeexplore.ieee.org
We consider the problem of budget allocation for competitive influence maximization over
social networks. In this problem, multiple competing parties (players) want to distribute their …
social networks. In this problem, multiple competing parties (players) want to distribute their …
Active opinion-formation in online social networks
Recommendation systems usually try to “guess” a user's preferences from the system's view.
We study another side of recommendation: active opinion-formation from the perspective of …
We study another side of recommendation: active opinion-formation from the perspective of …
Online and Offline Dynamic Influence Maximization Games Over Social Networks
In this work, we consider dynamic influence maximization games over social networks with
multiple players (influencers). At the beginning of each campaign opportunity, individuals' …
multiple players (influencers). At the beginning of each campaign opportunity, individuals' …
Scalable equilibrium computation in multi-agent influence games on networks
We provide a polynomial-time, scalable algorithm for equilibrium computation in multi-agent
influence games on networks, extending work of Bindel, Kleinberg, and Oren (2015) from …
influence games on networks, extending work of Bindel, Kleinberg, and Oren (2015) from …
Price of competition and dueling games
We study competition in a general framework introduced by Immorlica et al. and answer their
main open question. Immorlica et al. considered classic optimization problems in terms of …
main open question. Immorlica et al. considered classic optimization problems in terms of …
[PDF][PDF] Scalable Equilibrium Computation in Multi-agent Influence Games on Networks
M Hajiaghayi - Proceedings of the AAAI Conference on Artificial …, 2021 - par.nsf.gov
We provide a polynomial-time, scalable algorithm for equilibrium computation in multi-agent
influence games on networks, extending work of Bindel, Kleinberg, and Oren (2015) from …
influence games on networks, extending work of Bindel, Kleinberg, and Oren (2015) from …
Multiagent learning for competitive opinion optimization
From a perspective of designing or engineering for opinion formation games in social
networks, the opinion maximization (or minimization) problem has been studied mainly for …
networks, the opinion maximization (or minimization) problem has been studied mainly for …