Team : ComplexNetworks - Complex Networks
Axes : AID (👥👥), TMC (👥👥), ASN (👥), SSR (👥).Team leader :
Clémence Magnien Campus Pierre et Marie Curie 25-26/304
LIP6 events (ComplexNetworks)
LIP6 events (ComplexNetworks)
07/04/2024 - 10:00 : 
Chocs et réseaux maritimes : étude comparée de New York, Kobé et New Orleans
Speaker(s) : César DUCRUET
Cette présentation s'ouvre sur une brève revue de la littérature sur les chocs dans les réseaux (spatiaux), et plus particulièrement dans le cas des réseaux maritimes. L'absence d'études comparatives a motivé l'analyse conjointe de l'impact de l'attaque des Twin Towers à New York...
Campus Pierre et Marie Curie, tour 24, étage 5, couloir 24-25, pièce 509- 07/04/2024 - 11:00 : Géopolitique et réseaux maritimes : l'impact de la guerre Ukraine-Russie sur les connections maritimes de l'Ukraine
Speaker(s) : Marc-Antoine FAURE et Barbara POLO
Les conflits, qu'ils soient politiques, commerciaux ou militaires, affectent les réseaux de transport. Les opérateurs cherchent à éviter les zones les plus tendues en reconsidérant certaines routes. Des liens peuvent être mis à mal dans le cas des tensions géopolitiques locales, ...
Campus Pierre et Marie Curie, tour 24, étage 5, couloir 24-25, pièce 509
Short presentation
Complex Networks occur in many contexts : the internet, the Web, social, biological or judicial networks are examples of these objects, which can be modelled as graphs. Our team studies transverse questions about these objects, and in particular their measurement (acquirement of information about these graphs), metrology (induced bias on the structure by the measurement method), analysis (statistical or structural description), modelling (generating synthetic graphs sharing observed properties), as well as algorithmic questions (either new questions arising from the context or the taking into account of the very large size of these graphs). Our approach consists in going back and forth between fundamental questions and applied problems, transverse fundamental questions arising from the study of applied problems, and the development of methods to answer these questions leading to applied results, as well as a validation for the relevance of the proposed methods.
Graphs, dynamic networks, link streams, graph measurement, graph models, algorithmics, metrology, social networks, Internet topology
Selected publications
- T. Viard, M. Latapy, C. Magnien : “Computing maximal cliques in link streams”Theoretical Computer Science, vol. 609 (Part 1), pp. 245-252, (Elsevier)[Viard 2016]
- C. Magnien, A. Medem Kuatse, S. Kirgizov, F. Tarissan : “Towards realistic modeling of IP-level routing topology dynamics”Networking science, vol. 3 (1-4), pp. 24-33[Magnien 2013]
- R. Hollanders, D. Bernardes, B. Mitra, R. Jungers, J.‑Ch. Delvenne, F. Tarissan : “Data-driven traffic and diffusion modeling in peer-to-peer networks: A real case study”Network Science, vol. 2 (3), pp. 341-366, (Cambridge University Press)[Hollanders 2014]
- L. Tabourier, A.‑S. Libert, R. Lambiotte : “Predicting links in ego-networks using temporal information”EPJ Data Science, vol. 5 (1), pp. 1-16, (EDP Sciences)[Tabourier 2016]
- N. Gaumont, C. Magnien, M. Latapy : “Finding remarkably dense sequences of contacts in link streams”Social Network Analysis and Mining, vol. 6 (1), pp. 87, (Springer)[Gaumont 2016b]
Contact
Lionel.Tabourier (at) nulllip6.fr