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Modelling diffusion processes on dynamic contact networks is an importantresearch area for epidemiology, marketing, cybersecurity, and ecology. However,current diffusion models cannot capture transmissions occurring for indirectinteractions. For example, an airborne infected individual releases infectiousparticles at locations that can suspend in the air and infect susceptibleindividuals arriving even after the infected individual left. Thus, currentdiffusion models miss transmissions during indirect interactions. In thisthesis, a novel diffusion model called the same place different timetransmission based diffusion (SPDT) is introduced to take into account thetransmissions through indirect interactions. The behaviour of SPDT diffusion isanalysed on real dynamic contact networks and a significant amplification indiffusion dynamics is observed. The SPDT model also introduces some novelbehaviours different from current diffusion models. In this work, a new SPDTgraph model is also developed to generate synthetic traces to explore SPDTdiffusion in several scenarios. The analysis shows that the emergence of newdiffusion becomes common thanks to the inclusion of indirect transmissionswithin the SPDT model. This work finally investigates how diffusion can becontrolled and develops new methods to hinder diffusion.

Diffusion on dynamic contact networks with indirect transmission links