2 citations · 7 across the 9 of their papers we have counts for
10 papers
On the Complexity of Majority Illusion in Social Networks
Umberto Grandi, Grzegorz Lisowski, M. S. Ramanujan +1
Majority illusion occurs in a social network when the majority of the network nodes belong to a certain type but each node's neighbours mostly belong to a different type, therefore…
Enabling Imitation-Based Cooperation in Dynamic Social Networks
Jacques Bara, Paolo Turrini, Giulia Andrighetto
The emergence of cooperation among self-interested agents has been a key concern of the multi-agent systems community for decades. With the increased importance of network-mediated…
Predicting Voting Outcomes in the Presence of Communities, Echo Chambers and Multiple Parties
Jacques Bara, Omer Lev, Paolo Turrini
A recently proposed graph-theoretic metric, the influence gap, has shown to be a reliable predictor of the effect of social influence in two-party elections, albeit only tested on…
Peer Selection with Noisy Assessments
Omer Lev, Nicholas Mattei, Paolo Turrini +1
In the peer selection problem a group of agents must select a subset of themselves as winners for, e.g., peer-reviewed grants or prizes. Here, we take a Condorcet view of this aggr…
Bounding the Inefficiency of Route Control in Intelligent Transport Systems
Charlotte Roman, Paolo Turrini
Route controlled autonomous vehicles could have a significant impact in reducing congestion in the future. Before applying multi-agent reinforcement learning algorithms to route co…
PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection
Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov
In peer selection agents must choose a subset of themselves for an award or a prize. As agents are self-interested, we want to design algorithms that are impartial, so that an indi…