Community Formation as a Byproduct of a Recommendation System: A Simulation Model for Bubble Formation in Social Media
We investigate the problem of the formation of communities of users that selectively exchange messages among them in a simulated environment. This closed community can be seen as the prototype of the bubble effect, i.e., the isolation of individuals from other communities. We develop a computational...
Enregistré dans:
| Auteurs principaux: | Franco Bagnoli, Guido de Bonfioli Cavalcabo’, Banedetto Casu, Andrea Guazzini |
|---|---|
| Format: | article |
| Langue: | EN |
| Publié: |
MDPI AG
2021
|
| Sujets: | |
| Accès en ligne: | https://doaj.org/article/bfe70b22c53f42598888cac9c676f4ba |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Adapt Learning Path by Recommending Problems to Struggling Learners
par: Youssef Jdidou, et autres
Publié: (2021) -
Nature conservation in a digitalized world: echo chambers and filter bubbles
par: Annika Miller, et autres
Publié: (2021) -
The Hybrid Recommender System of the Indonesian Online Market Products using IMDb weight rating and TF-IDF
par: Muhammad Johari, et autres
Publié: (2021) -
Modern Information Technologies: Obstacles and Assistants in Management Decision-Making. Article One. Obstacles
par: V. A. Shamakhov, et autres
Publié: (2021) -
Worrying Impact of Artificial Intelligence and Big Data Through the Prism of Recommender Systems
par: Ljubiša Bojić, et autres
Publié: (2021)