activity
20162022
most citedSelecting nodes and buying links to maximize the information diffusion in a network

8 citations · 10 across the 5 of their papers we have counts for

collaborators

15 papers

cs.DS2021

Finding single-source shortest -disjoint paths: fast computation and sparse preservers

Davide Bilò, Gianlorenzo D'Angelo, Luciano Gualà +3

Let be a directed graph with vertices, edges, and non-negative edge costs. Given , a fixed source vertex , and a positive integer , we consider the problem of…

cs.GT20211 cited

When Can Liquid Democracy Unveil the Truth?

Ruben Becker, Gianlorenzo D'Angelo, Esmaeil Delfaraz +1

In this paper, we investigate the so-called ODP-problem that has been formulated by Caragiannis and Micha [10]. Here, we are in a setting with two election alternatives out of whic…

cs.DS2020

Group-Harmonic and Group-Closeness Maximization -- Approximation and Engineering

Eugenio Angriman, Ruben Becker, Gianlorenzo D'Angelo +3

Centrality measures characterize important nodes in networks. Efficiently computing such nodes has received a lot of attention. When considering the generalization of computing cen…

cs.SI2020

Fairness in Influence Maximization through Randomization

Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi +1

The influence maximization paradigm has been used by researchers in various fields in order to study how information spreads in social networks. While previously the attention was…

cs.SI2020

Multi-Winner Election Control via Social Influence

Mohammad Abouei Mehrizi, Gianlorenzo D'Angelo

In an election, we are given a set of voters, each having a preference list over a set of candidates, that are distributed on a social network. We consider a scenario where voters…

cs.GT2020

Maximizing Influence-based Group Shapley Centrality

Ruben Becker, Gianlorenzo D'Angelo, Hugo Gilbert

One key problem in network analysis is the so-called influence maximization problem, which consists in finding a set of at most seed users, in a social network, maximizing…