Competition between simple and complex contagion on temporal networks
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916499205128192 |
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| author | Andres, Elsa Pastor-Satorras, Romualdo Starnini, Michele Karsai, Márton |
| author_facet | Andres, Elsa Pastor-Satorras, Romualdo Starnini, Michele Karsai, Márton |
| contents | Behavioral adoptions are influenced by peers in different ways. While some individuals may change after a single incoming influence, others need multiple cumulated attempts. These two mechanism, known as the simple and the complex contagions, often occur together in social phenomena alongside personal factors determining individual adoptions. Here we aim to identify which of these contagion mechanism dominate a spreading process propagated by time-varying interactions. We consider three types of spreading scenarios: ones pre-dominated by simple or complex contagion, and mixed dynamics where the dominant mechanism changes during the unfolding of the spreading process. We propose different methods to analytically identify the transitions between these three scenarios and compare them with numerical simulations. This work offers new insights into social contagion dynamics on temporal networks, without assuming prior knowledge about individual's contagion mechanism driving their adoption decisions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_22115 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Competition between simple and complex contagion on temporal networks Andres, Elsa Pastor-Satorras, Romualdo Starnini, Michele Karsai, Márton Physics and Society Computational Physics Behavioral adoptions are influenced by peers in different ways. While some individuals may change after a single incoming influence, others need multiple cumulated attempts. These two mechanism, known as the simple and the complex contagions, often occur together in social phenomena alongside personal factors determining individual adoptions. Here we aim to identify which of these contagion mechanism dominate a spreading process propagated by time-varying interactions. We consider three types of spreading scenarios: ones pre-dominated by simple or complex contagion, and mixed dynamics where the dominant mechanism changes during the unfolding of the spreading process. We propose different methods to analytically identify the transitions between these three scenarios and compare them with numerical simulations. This work offers new insights into social contagion dynamics on temporal networks, without assuming prior knowledge about individual's contagion mechanism driving their adoption decisions. |
| title | Competition between simple and complex contagion on temporal networks |
| topic | Physics and Society Computational Physics |
| url | https://arxiv.org/abs/2410.22115 |