Al fine di migliorare la tua esperienza di navigazione, questo sito utilizza i cookie di profilazione di terze parti. Chiudendo questo banner o accedendo ad un qualunque elemento sottostante acconsenti all’uso dei cookie.

Scale-free percolation as a model for the cattle trading network in France.

24 ottobre 2019 ore 12:00 - 14:00

Aula 207, Sede di Viale Romania, 32

Speaker: Michele Salvi, Université Paris Diderot

Abstract:

Random networks are a fundamental tool for the analysis of large real-world structures (such as social networks, communication networks, inter-banking systems and so on) which are not directly treatable, often because of their size. The scale-free percolation random network features three properties that are never present at once in classical models: (1) Scale-free: the degree of the nodes follows a power law; (2) Small-world: two nodes are typically at a very small graph distance; (3) Positive clustering coefficient: two nodes with a common neighbour have a good chance to be linked.We study a continuous version of scale-free percolation and, through the statistical analysis of a dataset provided by the French Ministry of Agriculture, we verify that it encodes some relevant characteristics of the cattle trading network in France. Our final goal is to understand how an epidemic would spread on this kind of structures.