Modeling individual attention dynamics on online social media
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866908812397510656 |
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| author | Ojer, Jaume Radicchi, Filippo Fortunato, Santo Starnini, Michele Pastor-Satorras, Romualdo |
| author_facet | Ojer, Jaume Radicchi, Filippo Fortunato, Santo Starnini, Michele Pastor-Satorras, Romualdo |
| contents | In the attention economy, understanding how individuals manage limited attention is critical. We introduce a simple model describing the decay of a user's engagement when facing multiple inputs. We analytically show that individual attention decay is determined by the overall duration of interactions, not their number or user activity. Our model is validated using data from Reddit's Change My View subreddit, where the user's attention dynamics is explicitly traceable. Despite its simplicity, our model offers a crucial microscopic perspective complementing macroscopic studies. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_01511 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Modeling individual attention dynamics on online social media Ojer, Jaume Radicchi, Filippo Fortunato, Santo Starnini, Michele Pastor-Satorras, Romualdo Physics and Society Social and Information Networks In the attention economy, understanding how individuals manage limited attention is critical. We introduce a simple model describing the decay of a user's engagement when facing multiple inputs. We analytically show that individual attention decay is determined by the overall duration of interactions, not their number or user activity. Our model is validated using data from Reddit's Change My View subreddit, where the user's attention dynamics is explicitly traceable. Despite its simplicity, our model offers a crucial microscopic perspective complementing macroscopic studies. |
| title | Modeling individual attention dynamics on online social media |
| topic | Physics and Society Social and Information Networks |
| url | https://arxiv.org/abs/2507.01511 |