Cascades on Constrained Multiplex Networks
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2025
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866916769141096448 |
|---|---|
| author | Kluge, Christian Kuehn, Christian |
| author_facet | Kluge, Christian Kuehn, Christian |
| contents | We consider a version of the Watts cascade model on directed multiplex configuration model networks, and present a detailed analysis of the cascade size, single-seed cascade probability and cascade condition. We then introduce a smaller class of network models that we call constrained multiplex networks, which allows us to induce patterns in the node activity, i.e. in the participation of nodes on different layers. We find that the choice of induced patterns affects the phase transitions of the cascade model in a variety of ways. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_24631 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Cascades on Constrained Multiplex Networks Kluge, Christian Kuehn, Christian Adaptation and Self-Organizing Systems Social and Information Networks Probability Physics and Society We consider a version of the Watts cascade model on directed multiplex configuration model networks, and present a detailed analysis of the cascade size, single-seed cascade probability and cascade condition. We then introduce a smaller class of network models that we call constrained multiplex networks, which allows us to induce patterns in the node activity, i.e. in the participation of nodes on different layers. We find that the choice of induced patterns affects the phase transitions of the cascade model in a variety of ways. |
| title | Cascades on Constrained Multiplex Networks |
| topic | Adaptation and Self-Organizing Systems Social and Information Networks Probability Physics and Society |
| url | https://arxiv.org/abs/2505.24631 |