Spreading phenomena are ubiquitous in our increasingly interconnected world. In the investigation of these phenomena, simple models for disease transmission play a paradigmatic role. The effect of topologically complex interaction patterns on them has attracted a huge interest in the last years. In this talk, I will focus on the behavior of the Susceptible-Infected-Susceptible (SIS) model for infections without acquired immunity, discussing how its the-oretical understanding has grown over the years, with increasingly more re-ned approaches, uncovering a surprisingly rich phenomenology. The emerging picture is that the epidemic transition is triggered by dierent physical mechanisms, associated to distinct subgraphs playing the role of infection activators. This interpretation, purely based on the spreading dynamics, allows at the same time to throw light on the closely related issue of the nontrivial localization properties of dierent centrality measures on networks..
Thresholds, localization and centrality in epidemic spreading on networks
Claudio Castellano;
2015
Abstract
Spreading phenomena are ubiquitous in our increasingly interconnected world. In the investigation of these phenomena, simple models for disease transmission play a paradigmatic role. The effect of topologically complex interaction patterns on them has attracted a huge interest in the last years. In this talk, I will focus on the behavior of the Susceptible-Infected-Susceptible (SIS) model for infections without acquired immunity, discussing how its the-oretical understanding has grown over the years, with increasingly more re-ned approaches, uncovering a surprisingly rich phenomenology. The emerging picture is that the epidemic transition is triggered by dierent physical mechanisms, associated to distinct subgraphs playing the role of infection activators. This interpretation, purely based on the spreading dynamics, allows at the same time to throw light on the closely related issue of the nontrivial localization properties of dierent centrality measures on networks..File | Dimensione | Formato | |
---|---|---|---|
prod_332718-doc_103064.pdf
accesso aperto
Descrizione: abstract online
Tipologia:
Versione Editoriale (PDF)
Licenza:
Nessuna licenza dichiarata (non attribuibile a prodotti successivi al 2023)
Dimensione
49.65 kB
Formato
Adobe PDF
|
49.65 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.