Toulouse Complex Network (WP3)
May 01, 2016 09:00
May 04, 2016 12:30
|Hôtel Le Majestic - Boulevard Amédée Fontan, 31110 Bagnères-de-Luchon
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C Bordenave (IMT), S Cafieri (ENAC), E Fieux (IMT), B Georgeot (LPT), B Jouve (FRAMESPA/IMT), N Villa-Vialaneix (INRA MIAT)
Aim and Scope: Advanced mathematics for network analysis
The analysis of relational aspects in data provides access to a point of view that is not accessible by usual statistical methods on individuals/variable matrices. When it is justified, the construction of relational data allows us to analyse structural properties, local or global: neighbourhood, density of links, degree and centrality of a node, length of shortest path, … The graph, as a mathematical object, is the natural model for that type of data and graph theory is a source of tools for network analysis. However, graph theory is seldom used in its full power for the analysis of real networks, due to the scope of the theory and the diversity of the results and tools that have been developed. In this workshop, expert researchers will give lectures in order to present recent directions and advanced tools for network analysis, particularly in order to deal with the dynamics, the critical states, the break-up mechanisms or the micro-meso-macro transitions. One session will also be dedicated to short presentations by the participants and another one will be reserved to business use cases. Researchers from companies are welcome to attend.
The workshop is open but registration is necessary. To register, please fill in the form available from registration.
Each participant, except the invited speakers, will have to pay a fee of 455€ (single room)/305€ (shared twin room) for the entire workshop. This price includes lodging, breakfasts and lunches.
Collective transportation form Toulouse to Luchon and back will be provided on April 30 and May 4.
Some supports, particularly for PhD students, are available to cover the fees of the workshop. To apply, please send an Email to email@example.com in which you detail you research and the motivation for support in a half page, and send it before the 1st of March 2016.