activity
20202023
most citedFree Riding in Networks

2 citations · 2 across the 4 of their papers we have counts for

collaborators

6 papers

econ.TH2023

A Model of Polarization on Social Media

Patrick Allmis, Luca Paolo Merlino

We develop a model of social media in which users produce different types of content and choose whom to follow. Even when abstracting from algorithmic bias, linking costs shape net…

econ.TH2022

Optimal Verification of (Mis)Information in Networks

Luca Paolo Merlino, Nicole Tabasso

We study the diffusion of a true and a false message (misinformation) when agents are biased and able to verify messages. As a recipient of a false message who verifies it becomes…

econ.TH2021

Marriage through friends

Ugo Bolletta, Luca Paolo Merlino

In this paper, we propose a model of the marriage market in which individuals meet potential partners either directly or through their friends. When socialization is exogenous, a h…

econ.TH2021★ 2 cited

Free Riding in Networks

Markus Kinateder, Luca Paolo Merlino

Players allocate their budget to links, a local public good and a private good. A player links to free ride on others' public good provision. We derive sufficient conditions for th…

econ.TH2021

Group Identity, Social Learning and Opinion Dynamics

Sebastiano Della Lena, Luca Paolo Merlino

In this paper, we study opinion dynamics in a balanced social structure consisting of two groups. Agents learn the true state of the world naively learning from their neighbors and…

econ.TH2020

Debunking Rumors in Networks

Luca P. Merlino, Paolo Pin, Nicole Tabasso

We study the diffusion of a true and a false message (the rumor) in a social network. Upon hearing a message, individuals may believe it, disbelieve it, or debunk it through costly…