Oct 23
“Complex contagion process in spreading of online innovation” by Márton Karsai, Gerardo Iñiguez, Kimmo Kaski and János Kertész
Published 22 October 2014 doi: 10.1098/rsif.2014.0694 J. R. Soc. Interface 6 December 2014 vol. 11 no. 101 20140694
More information on the web of J. R. Soc. Interface
Oct 22
Call for participation
Workshop Internet Of Things (IoT)
FIT IoT-LAB inauguration and tutorials
https://www.iot-lab.info
Montbonnot, 6 & 7 November 2014
Proposal submission
Send your proposal to conf-iotlab@inria.fr including name and affiliation of the speaker, the title of your presentation and a short description proposal.
Submission deadline : October 19, 2014
Registration
Registration on Workshop (day1) and Tutorial (day2) is free an must be sent (First Name/Last Name/email/Affiliation) to conf-iotlab@inria.fr
Registration deadline : October 24, 2014
Scope
The project -Future Internet of Things (FIT) – is one of 52 winning projects from the first wave of the French Ministry of Higher Education and Research’s “Équipements d’Excellence” (Equipex) research grant programme. In this context, a Workshop is organized on the Internet of Things and experimental platforms IoT.
This workshop will be held at the research center INRIA Grenoble Rhone-Alpes on 6 & 7 November 2014; it is supported by the FIT consortium and the chair INRIA Schneider.
This workshop has the dual purpose by allowing exchanges on research around the Internet of Things and presenting talks and tutorials on various topics on the IoT domain. It specifically target experimentation through testing, verification, deployment, integration, management and federation of experimental platforms.
Send your proposal to conf-iotlab@inria.fr including name and affiliation of the speaker, the title of your talk and a short description proposal.
The workshop will bring together people from academia & industry, in several areas of research so that they can exchange ideas about the current and the future of the IoT.
The second day will be dedicated to a tutorial on using FIT IoT-LAB.
Sep 30
All informations on http://jlguillaume.free.fr/coddde/meetings.php#autumn2014
Sep 23
Laura, Laetitia, Matteo, Marton are presenting severals papers at ECCS 2014.
Mar 06
Ha Duong PHAN (http://vie.math.ac.vn/~phduong/) from the Institute of Mathematics of the Vietnam Academy of Science and Technology will stay in the DANTE team of the LIP, at IXXI, as an invited professor of ENS Lyon and UCBL during march and april 2014. She will give a seminar on “Chip Firing Game: Lattice structure and recognition algorithm” on Tuesday 18th March at 15.00 in ENS Lyon, site Jacques Monod, room 115.
Ha Duong Phan, Institute of Mathematics, Vietnam Academy of Science and Technology
Tuesday 18th March at 15.00 in ENS Lyon, site Jacques Monod, room 115.
In this talk, I will present the lattice structure of the configuration space of Chip Firing Game – a discrete dynamical model introduced by Dhar (1990) and A. Björner, L. Lovász and W. Shor (1991). The class of lattices generated by Chip Firing Games (CFGs) contains strictly the class of distributive lattice and is strictly included in the class of upper locally distributive lattices (ULD). However a necessary and sufficient criterion for this class is still an open question. We will give such a criterion. This criterion provides a polynomial-time algorithm for constructing a CFG which generates a given lattice if such a CFG exists.
Feb 12
More information at CLOSER 2014 (4th International Conference on Cloud Computing and Services Science) web site: http://closer.scitevents.org/Home.aspx
Feb 07
http://hal.inria.fr/hal-00942695/en
Abstract: In this contribution, we investigate a graph to signal mapping with the objective of analysing intricate structural properties of graphs with tools borrowed from signal processing. We successfully use a graph-based semi-supervised learning approach to map nodes of a graph to signal amplitudes such that the resulting time series is smooth and the procedure efficient and scalable. Theoretical analysis of this method reveals that it essentially amounts to a linear graph-shift-invariant filter with the a priori knowledge put into the training set as input. Further analysis shows that we can interpret this filter as a Wiener filter on graphs. We finally build upon this interpretation to improve our results.
Dec 18
16èmes Rencontres Francophones pour les Aspects Algorithmiques des Télécommunications
Link: http://icube-algotel2014.unistra.fr
When Jun 3, 2014 – Jun 6, 2014
Where Le-Bois-Plage-en-Ré, France
Submission Deadline Feb 7, 2014
Notification Due Apr 9, 2014
Final Version Due Apr 25, 2014
Categories algorithm network telecom
Nov 28
Date : December, 3th 2013 at 15:00
Room : IXXI
Since the 19th century many scholars have pondered on the existence of quantitative laws that describe the collective behaviour of a large number of people. Although fields like statistics and sociometry have long studied the dynamical regularities and structural properties of social systems, it is only recently that the description of society has been approached within the framework of statistical physics. The fast development of such ‘physics of social atoms’ is mainly due to the current availability of large datasets on online human behaviour, and includes a myriad of simplified mathematical models aimed at quantifying and predicting social interactions.
In this talk I will present a couple of models for the dynamics of opinion and social conflict, both motivated and qualitatively validated by empirical data. The first model explores the coupled evolution of social network structure and individual opinions regarding a controversial topic, and emulates the segregation of opposing opinion groups seen in a controlled experiment where students discuss drug-legalisation issues. The second model describes the production of a common product by collaborating individuals with diverse opinions, characterising different regimes of conflict that match editorial activity in Wikipedia articles. These results offer an inkling on the promising field of data-driven social dynamics, otherwise known as computational social science.
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