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: | , |
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Format: | text |
Published: |
Animo Repository
2019
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Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/9098 |
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Institution: | De La Salle University |
Summary: | 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. |
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