We developed further the theoretical framework for analysis of disease spreading processes, incorporating physical, epidemiological and socio-economic mechanisms and heterogeneous properties of the environment.

The main research question is how the epidemics spreading is changed if the underlying network and the model have heterogeneity: either encoded in the heterogeneity of network topology of epidemics spreading.  

The code is available on github and here  is the presentation.

References:

P.Holme, L.Tupikina “Epidemics extinction in networks: insights from 12110 smallest graphs” NJP (2018), arxiv  1802.08849 (2018)

Project together with Liubov Tupikina (CRI), Aurelie de Faure (CRI), Eliza Vergu (INRA), Vincent Bansaye (Ecole Polytechnique)

We developed further the theoretical framework for analysis of  spreading with the presence of the heterogeneous nodes: in terms of translatability of diseases.

The main research question is how the epidemics spreading is changed if the underlying network and the model have heterogeneity: either encoded in the heterogeneity of network topology of epidemics spreading. In particular we consider SIR model of epidemics spreading.  

The code is available on github and here  is the presentation.

References:

P.Holme, L.Tupikina “Epidemics extinction in networks: insights from 12110 smallest graphs” NJP (2018), arxiv  1802.08849 (2018)

Iannelli et al., “Effective distances for epidemics spreading on complex networks” Phys. Rev. E (2017)

G.Simon, F.Iannelli, P.Holme, L.Tupikina

“Heterogeneous spreading dynamics: new network descriptors ” (in prog.) 

Project together with Liubov Tupikina (CRI),  Gael Simon (CRI), Iannelli  (Humboldt University), P. Holme (Tokyo Tech University, Japan)