Correlation-Based Diagnostics of Social Contagion Dynamics in Multiplex Networks
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arXiv
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866910005460992000 |
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| author | Tey, Joan Hernàndez Cozzo, Emanuele |
| author_facet | Tey, Joan Hernàndez Cozzo, Emanuele |
| contents | Multiplex contagion dynamics display localization phenomena in which spreading activity concentrates on a subset of layers, as well as delocalized regimes where layers behave collectively. We investigate how these regimes are encoded in temporal correlations of node activity. By deriving a closed-form mean-field expression for node autocorrelations in a contact-based social contagion multiplex model and validating it through simulations, we show that lag-one autocorrelations act as sensitive indicators of both activation and localization transitions. Our results establish temporal correlations as lightweight, structure-agnostic probes of multiplex spreading dynamics, particularly valuable in partially observable systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_22459 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Correlation-Based Diagnostics of Social Contagion Dynamics in Multiplex Networks Tey, Joan Hernàndez Cozzo, Emanuele Physics and Society Multiplex contagion dynamics display localization phenomena in which spreading activity concentrates on a subset of layers, as well as delocalized regimes where layers behave collectively. We investigate how these regimes are encoded in temporal correlations of node activity. By deriving a closed-form mean-field expression for node autocorrelations in a contact-based social contagion multiplex model and validating it through simulations, we show that lag-one autocorrelations act as sensitive indicators of both activation and localization transitions. Our results establish temporal correlations as lightweight, structure-agnostic probes of multiplex spreading dynamics, particularly valuable in partially observable systems. |
| title | Correlation-Based Diagnostics of Social Contagion Dynamics in Multiplex Networks |
| topic | Physics and Society |
| url | https://arxiv.org/abs/2601.22459 |