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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2408.08891 |
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| _version_ | 1866916360800436224 |
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| author | de Paula, Patrick Oliveira Rada, Alejandra Rúa, Catalina |
| author_facet | de Paula, Patrick Oliveira Rada, Alejandra Rúa, Catalina |
| contents | It is proposed a model that makes use of the Entropy concept and the Jensen-Shannon information divergence function to simulate computationally the dissemination of opinions on a Barabási-Albert (BA) scale-free network. The simulation considers individual memory, ideological proximity between individuals, and distortion influenced by polarization. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_08891 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Application of Information Theory in Rumor Spreading Modeling Considering Polarization in Complex Networks de Paula, Patrick Oliveira Rada, Alejandra Rúa, Catalina Physics and Society Probability 60K37, 60-08 It is proposed a model that makes use of the Entropy concept and the Jensen-Shannon information divergence function to simulate computationally the dissemination of opinions on a Barabási-Albert (BA) scale-free network. The simulation considers individual memory, ideological proximity between individuals, and distortion influenced by polarization. |
| title | Application of Information Theory in Rumor Spreading Modeling Considering Polarization in Complex Networks |
| topic | Physics and Society Probability 60K37, 60-08 |
| url | https://arxiv.org/abs/2408.08891 |