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...

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Main Authors: Aguilar, Emerico H., Fujisaki, Yasumasa
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Published: Animo Repository 2019
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/9098
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Institution: De La Salle University
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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
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