Contagion processes over temporal networks with time-varying backbones

Matthieu Nadini, Alessandro Rizzo, Maurizio Porfiri

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Predicting the diffusion of real-world contagion processesrequires a simplified description of human-to-human interactions. Temporal networks offer a powerful means to developsuch a mathematically-transparent description. Through temporal networks, one may analytically study the co-evolution ofthe contagion process and the network topology, as well as incorporate realistic feedback-loop mechanisms related to individual behavioral changes to the contagion. Despite considerableprogress, the state-of-the-art does not allow for studying generaltime-varying networks, where links between individuals dynamically switch to reflect the complexity of social behavior. Here,we tackle this problem by considering a temporal network, inwhich reducible, associated with node-specific properties, andirreducible links, describing dyadic social ties, simultaneouslyvary over time. We develop a general mean field theory for theSusceptible-Infected-Susceptible model and conduct an extensivenumerical campaign to elucidate the role of network parameterson the average degree of the temporal network and the epidemicthreshold. Specifically, we describe how the interplay betweenreducible and irreducible links influences the disease dynamics,*Address all correspondence to these authors.offering insights towards the analysis of complex dynamical networks across science and engineering.

Original languageEnglish (US)
Title of host publicationModeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations
Subtitle of host publicationModeling, Analysis, and Control
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791859155
StatePublished - Jan 1 2019
EventASME 2019 Dynamic Systems and Control Conference, DSCC 2019 - Park City, United States
Duration: Oct 8 2019Oct 11 2019

Publication series

NameASME 2019 Dynamic Systems and Control Conference, DSCC 2019


ConferenceASME 2019 Dynamic Systems and Control Conference, DSCC 2019
Country/TerritoryUnited States
CityPark City

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering


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