Section: Partnerships and Cooperations

International Initiatives

MALENA

• Title: Machine Learning for Network Analytics

• International Partner (Institution - Laboratory - Researcher):

  • Indian Institute of Technology Bombay (India) - Electrical Communication Engineering - Vivek Borkar

• Start year: 2017

• See also: http://www-sop.inria.fr/members/Konstantin.Avratchenkov/MALENA.html

• In the past couple of decades network science has seen an explosive growth, enough to be identified as a discipline of its own, overlapping with engineering, physics, biology, economics and social sciences. Much effort has gone into modelling, performance measures, classification of emergent features and phenomena, etc, particularly in natural and social sciences. The algorithmic side, all important to engineers, has been recognised as a thrust area (e.g., two recent Nevanlinna Prize (J. Kleinberg 2006 and D. Spielman 2010) went to prominent researchers in the area of network analytics). Still, in our opinion the area is yet to mature and has a lot of uncharted territory. This is because networks provide a highly varied landscape, each flavour demanding different considerations (e.g., sparse vs dense graphs, Erdös-Rényi vs planted partition graphs, standard graphs vs hypergraphs, etc). Even adopting existing methodologies to these novel situations is often a nontrivial exercise, not to mention many problems that cry out for entirely new algorithmic paradigms. It is in this context that we propose this project of developing algorithmic tools, drawing not only upon established as well as novel methodologies in machine learning and big data analytics, but going well beyond, e.g., into statistical physics tools.

THANES

• Title: THeory and Application of NEtwork Science

• International Partner (Institution - Laboratory - Researcher):

  • Universidade Federal do Rio de Janeiro (Brazil) - Department of Computer and Systems Engineering (PESC/COPPE) - Daniel Ratton Figueiredo, Edmundo De Souza e Silva

  • Universidade Federal do Rio de Janeiro (Brazil) - Math institute - Giulio Iacobelli

  • Purdue Univ. (USA) - Computer Science Department - Bruno Ribeiro

• Start year: 2017

• See also: https://team.inria.fr/thanes/

• We plan move beyond the study of a single network and focus on multiplex networks, i.e. multiple interacting networks. Multiplex networks have recently raised as “one of the newest and hottest themes in the statistical physics of complex networks.” They originate from the observation that many complex systems, ranging from living organisms to critical infrastructures, operate through multiple layers of distinct interactions among their constituents. In particular we plan to work on the co-evolution of the different layers of a multiplex network and on how epidemics spread in such setting.

Neo is involved in the IFCAM with the MALENA project. See §9.4.1.1.