Team : ComplexNetworks
Departure date : 10/08/2018
: Matthieu LATAPY Co-supervision
: TABOURIER Lionel
Importance of temporality in spreading phenomena. A case study of cattle trade movements.
Disease spread among agricultural premises is greatly enhanced by cattle trade movements. Preventing spreading is a key issue for economical issues, for instance to prevent trade restrictions, but also for public health. Indeed, many animal diseases affect human beings, such as bovine tuberculosis. Tracing cattle trade movements is aiming at detecting the sources of infection, and thus, helps fighting against disease spread.
Accessing databases recording cattle trade movements allows to study the structure and dynamic of the exchanges. To do so, methods developed for Social Network Analysis are more and more adapted and use for these purposes.
The aim of this work is to use temporal models and methods to study cattle trade movements. As the development of temporal networks is relatively recent, few analyzes using these methods have been conduct on cattle trade data. Thus, contributions are twofold in this work: taking part to the development of analysis tools of temporal networks, and then, deducting potential ways of enhancement to control and fight against disease spread among holdings.
: 10/08/2018 - 14h - Site Jussieu 25-26/105Jury members
Renaud Lambiotte, professeur à l'université d'Oxford [Rapporteur]
Camille Roth, professeur à Sciences Po Paris [Rapporteur]
Elisabeta Vergu, directeur de recherche à l'Inra de Jouy-en-Josas
Christohpe Cambier, maître de conférence Sorbonne université
Pascal Crépey, professeur à l'EHESP
Matthieu Latapy, directeur de recherche au CNRS
Lionel Tabourier, maître de conférence Sorbonne université