activity
20162026
most citedSelecting nodes and buying links to maximize the information diffusion in a network

8 citations · 12 across the 13 of their papers we have counts for

collaborators
Showing cs.SIShow all

9 papers · 1 filter

cs.SI2023★ 1 cited

Improving Fairness in Information Exposure by Adding Links

Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi

Fairness in influence maximization has been a very active research topic recently. Most works in this context study the question of how to find seeding strategies (deterministic or…

cs.SI2023★ 1 cited

On the Cost of Demographic Parity in Influence Maximization

Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi

Modeling and shaping how information spreads through a network is a major research topic in network analysis. While initially the focus has been mostly on efficiency, recently fair…

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

Improved Approximation Factor for Adaptive Influence Maximization via Simple Greedy Strategies

Gianlorenzo D'Angelo, Debashmita Poddar, Cosimo Vinci

In the adaptive influence maximization problem, we are given a social network and a budget , and we iteratively select nodes, called seeds, in order to maximize the expected…

cs.SI2020

Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback

Gianlorenzo D'Angelo, Debashmita Poddar, Cosimo Vinci

In the influence maximization (IM) problem, we are given a social network and a budget , and we look for a set of nodes in the network, called seeds, that maximize the expec…

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.SI2019

Balancing spreads of influence in a social network

Ruben Becker, Federico Corò, Gianlorenzo D'Angelo +1

The personalization of our news consumption on social media has a tendency to reinforce our pre-existing beliefs instead of balancing our opinions. This finding is a concern for th…

cs.SI2019

Election Control through Social Influence with Unknown Preferences

Mohammad Abouei Mehrizi, Federico Corò, Emilio Cruciani +1

The election control problem through social influence asks to find a set of nodes in a social network of voters to be the starters of a political campaign aiming at supporting a gi…

cs.SI2019

Exploiting Social Influence to Control Elections Based on Scoring Rules

Federico Corò, Emilio Cruciani, Gianlorenzo D'Angelo +1

Online social networks are used to diffuse opinions and ideas among users, enabling a faster communication and a wider audience. The way in which opinions are conditioned by social…