Gossip-based model for opinion dynamics with probabilistic group interactions
Classical models of opinion dynamics utilize deterministic methods to describe how opinions evolve within a social network. More recent models are shifting towards randomized processes to emulate real-world interactions. These include gossip-based models that use pairwise interactions to represent t...
Saved in:
Main Authors: | , |
---|---|
Format: | text |
Published: |
Animo Repository
2019
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/9098 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
id |
oai:animorepository.dlsu.edu.ph:faculty_research-9094 |
---|---|
record_format |
eprints |
spelling |
oai:animorepository.dlsu.edu.ph:faculty_research-90942023-04-17T01:03:51Z Gossip-based model for opinion dynamics with probabilistic group interactions Aguilar, Emerico H. Fujisaki, Yasumasa Classical models of opinion dynamics utilize deterministic methods to describe how opinions evolve within a social network. More recent models are shifting towards randomized processes to emulate real-world interactions. These include gossip-based models that use pairwise interactions to represent the opinion formation process. In this paper, we propose to extend the gossip-based models for opinion dynamics by allowing group interactions with randomly selected participants. 2019-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/faculty_research/9098 Faculty Research Work Animo Repository Multiagent systems Computer Sciences |
institution |
De La Salle University |
building |
De La Salle University Library |
continent |
Asia |
country |
Philippines Philippines |
content_provider |
De La Salle University Library |
collection |
DLSU Institutional Repository |
topic |
Multiagent systems Computer Sciences |
spellingShingle |
Multiagent systems Computer Sciences Aguilar, Emerico H. Fujisaki, Yasumasa Gossip-based model for opinion dynamics with probabilistic group interactions |
description |
Classical models of opinion dynamics utilize deterministic methods to describe how opinions evolve within a social network. More recent models are shifting towards randomized processes to emulate real-world interactions. These include gossip-based models that use pairwise interactions to represent the opinion formation process. In this paper, we propose to extend the gossip-based models for opinion dynamics by allowing group interactions with randomly selected participants. |
format |
text |
author |
Aguilar, Emerico H. Fujisaki, Yasumasa |
author_facet |
Aguilar, Emerico H. Fujisaki, Yasumasa |
author_sort |
Aguilar, Emerico H. |
title |
Gossip-based model for opinion dynamics with probabilistic group interactions |
title_short |
Gossip-based model for opinion dynamics with probabilistic group interactions |
title_full |
Gossip-based model for opinion dynamics with probabilistic group interactions |
title_fullStr |
Gossip-based model for opinion dynamics with probabilistic group interactions |
title_full_unstemmed |
Gossip-based model for opinion dynamics with probabilistic group interactions |
title_sort |
gossip-based model for opinion dynamics with probabilistic group interactions |
publisher |
Animo Repository |
publishDate |
2019 |
url |
https://animorepository.dlsu.edu.ph/faculty_research/9098 |
_version_ |
1794553723257618432 |