What does this research mean for the field?

A low-dimensional mean-field approximation, depending only on the spectral radius of the static layer and temporal parameters, is sufficient to accurately predict the extinction-persistence transition of SIS epidemics on temporal multiplex networks. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To establish theoretical mean-field epidemic thresholds for susceptible–infected–susceptible (SIS) dynamics on multiplex networks combining static topologies with activity-driven temporal contact layers.

August 24, 2026Applied Network ScienceOpen Access

Epidemic mean-field thresholds of SIS dynamics on temporal multiplex networks with activity-driven layers

View Full Paper

Ask AI

Bookmark

Authors

MMMatin MarjaniKansas State University SCShirshendu ChatterjeeThe Graduate Center, CUNY SBSharmodeep BhattacharyyaOregon State University

Discussion

Member takes

Implication

Network modeling study reveals epidemic extinction-persistence thresholds across temporal multiplex networks, suggesting static structure and dynamic mixing jointly dictate outbreak risk.

Key Points

To establish theoretical mean-field epidemic thresholds for susceptible–infected–susceptible (SIS) dynamics on multiplex networks combining static topologies with activity-driven temporal contact layers.
Simulated SIS spreading processes across Erdős–Rényi, Watts–Strogatz, and Barabási–Albert network topologies combined with activity-driven temporary contact layers.
Linearized the dynamical system around the disease-free equilibrium to approximate random temporal contacts with an early-time operator combining static adjacency and rank-one mixing.
Identified an extinction–persistence epidemic transition that shifts systematically as the number of temporary contacts per activation increases.
Formulated a compact mean-field onset threshold based on the static layer spectral radius and temporal activity parameters that closely tracks empirical simulation phase boundaries.

Cite This Study

Marjani et al. (2026) studied this question.

synapsesocial.com/papers/6a8c0010bca056c88e6dee95 https://doi.org/10.1007/s41109-026-00824-0

View Full Paper

Ask AI

Bookmark

Implication

Network modeling study reveals epidemic extinction-persistence thresholds across temporal multiplex networks, suggesting static structure and dynamic mixing jointly dictate outbreak risk.

Epidemic mean-field thresholds of SIS dynamics on temporal multiplex networks with activity-driven layers

Discussion

Member takes

Implication

Key Points

Cite This Study

Epidemic mean-field thresholds of SIS dynamics on temporal multiplex networks with activity-driven layers

Discussion

Member takes

Implication

Key Points

Cite This Study

Also Consider

Also Consider