Workshop on Data Driven Approach to Networks and Language

Lyon, France, MAY 11-13, 2016

Network Science Thematic Semester Series of Interdisciplinary Workshop

*** Scope and Topics:

The first aim of this workshop is to enhance our understanding of
the links between individuals, social structure, and language
usage. These questions should be addressed by the detailed analysis
of recently available large digital datasets, like ones collected
in Twitter and other systems. These datasets include the social
interactions and the utterances of a large number of individuals,
which allows for the coupled analysis of the social network and
language variation and change as a function of time. Our goal is to
contribute to the interdisciplinary fields of computational
sociolinguistics, network science, data-driven and computational
approaches to language and social network. We will bring together
researchers focusing on network linguistics, from different fields:
machine learning, data analytics, data mining, computational modeling,
large-scale graph-structured high-dimensional data, low-dimensional
representations by dimensionality reduction. A second objective of
the workshop will be to discuss about these types of methods, which
follow often from a data driven approach, especially for their
application to social media dataset.

*** Keynote Speakers:

– Stéphanie Barbu (UMR 6552 EthoS)
– Richard Benton (University of Illinois)
– Jacob Eisenstein (Georgia Tech)
– Alfred Hero (University of Michigan)
– José M. F. Moura (Carnegie Mellon University)

*** Submission of abstracts:

We invite you to submit a one or two-page abstract.

Submissions are done via our EasyChair submission link:

It is required that at least one author of each accepted paper
register and attend the Workshop on Data Driven Approach to Networks
and Language to present their work.

*** Important Dates

– Abstract submission deadline: JANUARY 29th, 2016
– Notification to authors: FEBRUARY 27th, 2016
– Conference date: MAY 11-13, 2016


– Jean-Pierre Chevrot (University Grenoble Alpes, LIDILEM)
– Eric Fleury (ENS de Lyon/Inria, LIP)
– Márton Karsai (ENS de Lyon/Inria, LIP)
– Jean-Philippe Magué (ENS de Lyon, ICAR)
– Matthieu Quignard (ENS de Lyon, ICAR)

*** 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).