Lyon, France, JUNE 20-22, 2016
Network Science Thematic Semester Interdisciplinary Workshop Series
*** Scope and Topics
The dynamical evolution of complex networks and ongoing processes
are one of the hottest contemporary directions in Network Science.
The main aim of this workshop is to bring together experts in this
field focusing on the description, observation, and modeling of the
dynamics on and of networks. “Dynamics on networks” refers to the
different types of processes (e.g. proliferation, diffusion, random
walk, etc.) that take place on networks, with functionality/efficiency
strongly affected by the topology as well as the dynamics of
interactions. On the other hand, “Dynamics of networks” mainly
refers to time-varying interactions, which defines temporal networks
on the finest possible level, which are crucial to understand the
evolution and the emerging properties of complex networks. It has
become clear that properties such as stability, robustness, connectivity,
etc. depend on the temporal evolution of networks driven by higher
order structural and temporal correlations.
A motivation of the workshop is also to bring together scientists
interested in the development of methodologies to study complex networks
and data on graphs, especially in the domains of computer science,
graph-theoretical algorithms, graph-signal processing, data analytics,
physics, computational social science, epidemiology, econometrics and
social network theory.
The workshop expects multi-disciplinary research contributions to
study common problems in systems exhibiting a complex network
structure (e.g., biological systems, linguistic systems, social
systems and various other man-made systems like the Internet,
WWW, peer-to-peer systems etc.). Accordingly, one of the major
goals of the workshop is to build bridges between different
research areas and their corresponding communities.
*** Invited speakers:
– Kimmo Kaski (Aalto University, Finland)
– Renaud Lambiotte (University of Namur, Belgium)
– Nicola Perra (Greenwich University, UK)
– Alejandro Ribeiro, TBC (University of Pensilvania, USA)
– Camille Roth, TBC (CNRS, Centre Marc Bloch, Germany)
*** Submission of abstracts:
We invite you to submit a one or two-page abstract.
Submissions are expected via the following EasyChair submission link:
https://easychair.org/conferences/?conf=do2net
It is required that at least one author of each accepted contribution
register and attend the workshop to present the corresponding work.
Registration also assures the participation to the workshop in case
of limitations due to high participation number.
*** Important Dates
– Abstract submission deadline: FEBRUARY 24h, 2016
– Notification to authors: MARCH 24th, 2016
– Conference date: JUNE 20-22, 2016
*** ORGANIZING COMMITTEE
– Pierre Borgnat (CNRS, Laboratoire de Physique) – pierre.borgnat@ens-lyon.fr
– Eric Fleury (ENS de Lyon/Inria, LIP) – eric.fleury@inria.fr
– Paulo Gonçalves (Inria, LIP) – paulo.goncalves@inria.fr
– Márton Karsai (ENS de Lyon/Inria, LIP) – marton.karsai@ens-lyon.fr
*** Network Science Thematic Semester
The thematic semester on Network Science is organized by the
DANTE Inria team (Ecole Normale Supérieure de Lyon, Université
Claude Bernard (Lyon 1), CNRS, Laboratoire de l’Informatique
du Parallélisme — UMR5668), the SiSyPhe team (Ecole normale
supérieure de Lyon, Université Claude Bernard (Lyon 1), CNRS,
Laboratoire de Physique — UMR5672), the Centre de Physique
Théorique — UMR-7332, the Excellence Laboratory MILYON —
Mathematics and Fundamental Computer Science in Lyon, the
Institute of Scientific Interchange — (ISI) and the IXXI
(Complex Systems Institute in Rhône-Alpes).
This program intends to cover both the basics of and recent
advances in Network Science and Data Analytics for Networks.
In this program, we aim to bring together world-known experts
from the fields of mathematics, physics, signal processing,
computer science, social science, epidemiology and linguistic
to discuss and enhance our understanding about the interaction
between the structure, evolution, and coupled dynamical
processes of complex networks.
We welcome participants from graduate student level to the
level of experts in the subject. Limited number of travelling
support for students is available (through the organizers).
