Emergence of simple and complex contagion dynamics from weighted belief networks
Fuente:
arXiv
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866913334624780288 |
|---|---|
| author | Aiyappa, Rachith Flammini, Alessandro Ahn, Yong-Yeol |
| author_facet | Aiyappa, Rachith Flammini, Alessandro Ahn, Yong-Yeol |
| contents | Social contagion is a ubiquitous and fundamental process that drives individual and social changes. Although social contagion arises as a result of cognitive processes and biases, the integration of cognitive mechanisms with the theory of social contagion remains an open challenge. In particular, studies on social phenomena usually assume contagion dynamics to be either simple or complex, rather than allowing it to emerge from cognitive mechanisms, despite empirical evidence indicating that a social system can exhibit a spectrum of contagion dynamics -- from simple to complex -- simultaneously. Here, we propose a model of interacting beliefs, from which both simple and complex contagion dynamics can organically arise. Our model also elucidates how a fundamental mechanism of complex contagion -- resistance -- can come about from cognitive mechanisms. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2301_02368 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Emergence of simple and complex contagion dynamics from weighted belief networks Aiyappa, Rachith Flammini, Alessandro Ahn, Yong-Yeol Social and Information Networks Physics and Society Social contagion is a ubiquitous and fundamental process that drives individual and social changes. Although social contagion arises as a result of cognitive processes and biases, the integration of cognitive mechanisms with the theory of social contagion remains an open challenge. In particular, studies on social phenomena usually assume contagion dynamics to be either simple or complex, rather than allowing it to emerge from cognitive mechanisms, despite empirical evidence indicating that a social system can exhibit a spectrum of contagion dynamics -- from simple to complex -- simultaneously. Here, we propose a model of interacting beliefs, from which both simple and complex contagion dynamics can organically arise. Our model also elucidates how a fundamental mechanism of complex contagion -- resistance -- can come about from cognitive mechanisms. |
| title | Emergence of simple and complex contagion dynamics from weighted belief networks |
| topic | Social and Information Networks Physics and Society |
| url | https://arxiv.org/abs/2301.02368 |