Google matrix: fundamentals, applications and beyond

In the era of global communication, mathematical concepts that help controlling information flow become increasingly important. In particular, Markov chains, first introduced in 1906, are currently applied in information search processes and in the analysis of information flow, which are at the very heart of search engines and the internet industry.

In 1998 the algorithm used by the Google search engine was described in detail by Sergey Brin and Larry Page in their seminal paper.

Twenty years later, with the GOMAX conference to be held from 15 to 18 October 2018, IHES wants to create new contact points between mathematics, physics, computer science and the high-tech industry by hosting a conference which will review key milestones, as well as the future research directions on the efficiency and control of information flow on directed networks.

The workshop is organised by Andras Benczur (MTA SZTAKI Budapest), Dima Shepelyansky (CNRS-Univ. Paul Sabatier, Toulouse) and Emmanuel Ullmo (IHES).

The list of speakers includes: Paolo Boldi (Università di Milano), Jean-Philippe Bouchaud (CFM, Paris), Sergey Dorogovtsev (University of Aveiro), Leonardo Ermann (Comisión Nacional de Energía Atómica, Argentina), Klaus Frahm (Université de Toulouse), Katia Jaffres-Runser (IRIT, INPT-ENSEEIHT, Toulouse), Ravi Kumar (Google CA), Jose Lages (Institut UTINAM, Besançon), Yann LeCun (Facebook AI Research), Matteo Marsili (ICTP Trieste), Stéphane Nonnenmacher (Université Paris-Sud, Orsay), Robert Palovics (Hungarian Academy of Sciences), Lior Rokach (Ben-Gurion University of the Negev), Jean-Jacques Slotine (MIT), Andrew Tomkins (Google CA), Piet Van Mieghem (Delft University), Andrey Zinovyev (Institut Curie).

The scientific advisory board consists of Andras Benczur, Misha Gromov (IHES), Maxim Kontsevich (IHES), and Dima Shepelyansky.

For more information and registrations check the conference webpage