Ecole des Sciences avancées de Luchon

In past ten years, modern societies developed enormous communication and social networks and in parallel an enormous amount of information became available from genetic sequences. New characterization tools of complex networks and data mining provide possibilities for information analysis in social networks, communication, economy, gene, protein and other networks. The interdisciplinary approaches based on complex networks and Markov chains allow to obtain advanced results in such diverse fields as physics, computer science, economy and bioinformatics. The school will present lectures of world leading experts in these fields.

 

Topics :  

Scale-free networks; Markov chains and ranking algorithms; Data mining methods; Google matrix analysis; Recommendation systems; Information retrieval and search engines; Temporal Web analysis; Machine learning; Big data analysis for Web, Wikipedia, genomics and proteomics; Reconstruction of biological networks from gene expression data; Networks in economics. 
Read more about things you will learn here.

 

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School Organizers: Debora Donato (San Francisco)Dima Shepelyansky (Toulouse)Victor Solovyev (KAUST) 
Secretary: Malika Bentour