Vincenzo Auletta
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Vincenzo Auletta has a total of 60 co-authors. Here are the top co-authors by number of shared publications:
- Diodato Ferraioli
University of Salerno
16 shared publications Giuseppe Persiano
Università di Salerno
14 shared publicationsPaolo Penna
ETH Zurich
13 shared publications- Francesco Pasquale
Università di Roma Tor Vergata Rome Italy
9 shared publications - Giuseppe Persiano
University of Salerno, Salerno, Italy
9 shared publications - Carlo Blundo
Università degli Studi di Salerno
7 shared publications
Latest Publications
- 3 October 2026
- Published by Springer Nature
- p. 30-42
Minimum-Cost Hyperedge Interventions for Consensus Reaching via Answer Set Programming
- 3 October 2026
- Published by Springer Nature
- p. 30-42
Minimum-Cost Hyperedge Interventions for Consensus Reaching via Answer Set Programming
- 3 October 2026
- Published by Springer Nature
- p. 43-56
Influence Maximization on Partially Observable Social Networks with Graph Reconstruction
- 3 October 2026
- Published by Springer Nature
- p. 43-56
Influence Maximization on Partially Observable Social Networks with Graph Reconstruction
- 2 July 2026
- Published by Springer Nature
- p. 124-143
Adaptive Influence Maximization on Hypergraph Topologies
- 2 July 2026
- Published by Springer Nature
- p. 124-143
Adaptive Influence Maximization on Hypergraph Topologies
- 15 December 2025
- Published by Springer Nature
- p. 187-204
Adaptive Multi-round Influence Maximization with Limited Information
- 15 December 2025
- Published by Springer Nature
- p. 187-204
Adaptive Multi-round Influence Maximization with Limited Information
- 15 December 2025
- Published by Springer Nature
- p. 224-231
Influence Maximization in Unknown Social Networks: A Contextual Bandit Approach (Extended Abstract)
- 15 December 2025
- Published by Springer Nature
- p. 224-231
Influence Maximization in Unknown Social Networks: A Contextual Bandit Approach (Extended Abstract)
- 11 June 2025
- Published by Springer Nature
- p. 255-262
Heuristics for the Influence Maximization Problem on Hypergraphs
- 11 June 2025
- Published by Springer Nature
- p. 255-262
Heuristics for the Influence Maximization Problem on Hypergraphs
- Open Access
- 21 November 2023
- Published by Springer Nature in Research Square
On the Impact of Social Media Recommendations on Consensus of Discrete Opinions
We consider a discrete opinion formation problem in social networks in a setting where agents are influenced by both information diffused by their social relations and from recommendations received directly from the social media manager. We study how the ''strength'' of the influence of the social media and the homophily ratio affect the probability of the agents of reaching a consensus and how these factors can determine the type of consensus reached. In a simple 2-symmetric block model we prove that agents converge either to a consensus or to a persistent disagreement. In particular, we show that when the homophily ratio is large, the social media has a very low capacity of determining the outcome of the opinion dynamics. On the other hand, when the homophily ratio is low, the social media influence can have an important effect on the dynamics, either by making harder to reach a consensus or inducing it on extreme opinions. Finally, in order to extend our analysis to more general and realistic settings we give some experimental evidences that our results still hold on general networks.
- 21 November 2023
- Published by Springer Nature in Research Square
Open AccessOn the Impact of Social Media Recommendations on Consensus of Discrete Opinions
We consider a discrete opinion formation problem in social networks in a setting where agents are influenced by both information diffused by their social relations and from recommendations received directly from the social media manager. We study how the ''strength'' of the influence of the social media and the homophily ratio affect the probability of the agents of reaching a consensus and how these factors can determine the type of consensus reached. In a simple 2-symmetric block model we prove that agents converge either to a consensus or to a persistent disagreement. In particular, we show that when the homophily ratio is large, the social media has a very low capacity of determining the outcome of the opinion dynamics. On the other hand, when the homophily ratio is low, the social media influence can have an important effect on the dynamics, either by making harder to reach a consensus or inducing it on extreme opinions. Finally, in order to extend our analysis to more general and realistic settings we give some experimental evidences that our results still hold on general networks.
- 2 November 2023
- Published by Springer Nature
- p. 467-480
Election Manipulation in Social Networks with Single-Peaked Agents
- 2 November 2023
- Published by Springer Nature
- p. 467-480
Election Manipulation in Social Networks with Single-Peaked Agents
- 7 September 2023
- Published by Springer Nature
- p. 435-444
Election Manipulation on Social Networks with Abstention
- 7 September 2023
- Published by Springer Nature
- p. 435-444
Election Manipulation on Social Networks with Abstention
- 19 July 2022
- Published by Springer Nature
- p. 263-278
On the Impact of Social Media Recommendations on Opinion Consensus
- 19 July 2022
- Published by Springer Nature
- p. 263-278
On the Impact of Social Media Recommendations on Opinion Consensus