Márton Karsai receives the Junior Scientific Award of the Complex System Society

Since 2014, the Complex System Society gives the Junior Scientific Award to young members of the society (within ten years of completing their PhD)  to recognise their extraordinary scientific achievements within the field of complex systems/

For the year 2018, the Junior Scientific Award was given to Márton Karsai “for his many outstanding contributions to the science of complex systems, especially for his work on temporal networks and computational social sciences” at the CSS2018 annual conference, which was held between the 23 to 28 September 2018 in Thessaloniki, Greece.

 

Stic-AmSud MOTIf – Mo​bile phone sensing of human dynamics in ​techno-social environment

The MOTIf project, funded by the Stic-AmSud program, is a two-years long international project (2018-2019) between French and Latin American partners from Argentina and Brazil. The general goal of the MOTIf project is to ​understand, model, and predict individual behavior embedded in social and technological environments. We propose to work in two directions in order to tackle this challenge:

  • aim to understand ​spatiotemporal patterns of service usage of individuals to learn when, where, and what people are doing​.
  •  aim to understand the ​fine-grained sociodemographic structure of society and see how the ​demographic characteristics of individuals in a social network correlate with the dynamics of their egocentric and global network evolution.

Information and Communication Technology (ICT) is becoming increasingly social, as demonstrated by the multitude of emerging technologies and technology platforms that facilitate social interactions, taking place as communication via telephone, text message, email, online social networks etc. At the same time, our social activities are increasingly embedded in the ICT environments that enable and enhance our ability to transact, share experiences, and maintain social relationships.

One of the best ways to explore these developments is through the mining and analysis of data, which are collected through mobile phones and allow us to investigate how individuals act when embedded in a technology-enabled environment. Unlimited access to a wide range of mobile applications and services may change our way to gain information, to communicate, or even to behave in different contextual places like home, work, or anywhere else. Thus understanding individual activity patterns and the source of decisions behind them is moreover important for the design of future services and to estimate the demand on the infrastructure.

The MOTIf project builds on the analysis and modeling of geo-localized temporally detailed but fully anonymised mobile phone call networks. These datasets allow us to address the two scientific objectives about ​spatiotemporal patterns of service usage of anonymised individuals to learn when, where, and what people are doing; ​and about the ​fine-grained sociodemographic structure of society and its effect on the the individual social behaviour. In other words our goal in general is to understand how individuals behave in a dynamic techno-social environment.

Partners:

  • INRIA (DANTE and INFINE teams) – France
  • Grandata – Argentina
  • Universidad de Buenos Aires – Argentina
  • Universidade Federal de Minas Gerais – Brazil
  • National Laboratory for Scientific Computing – Brazil
  • Pontifícia Universidade Católica de Minas Gerais – Brazil

 

International coordinator

  • Márton KARSAI (ENS Lyon/DANTE)

 

National coordinators:

  • Jussara M. ALMEIDA (Universidade Federal de Minas Gerais)
  • Alejo SALLES (Universidad de Buenos Aires)

Results and publications

  • Y. Leo, M. Karsai, C. Sarraute, E. Fleury, Correlations and dynamics of consumption patterns in social-economic networks. Soc. Netw. Analys. Min. 8, 9 (2018)
  • Y. Liao, W. Du, M. Karsai, C. Sarraute, M. Minnoni, Eric Fleury, Novel Methods of Subscription Type Prediction in Mobile Phone Services. Lect. Notes in Soc. Netw. Analys. Min. (2018)
  • G. Chen, A. C. Viana, C. Sarraute, M. Fiore, S. Hoteit. Enriching Sparse Mobility Information in Call Detail Records.  To appear at Computer Communications Elsevier journal.2018.
  • Lima, A. Aguiar, A. C.Vianaand P. Carvalho. Impacts of Human Mobility in Data Offloading. ACM CHANTS, jointly with ACM MobiCom. New Delhi, India. October 2018.
  • G. Chen, A. C. Viana, M. Fiore. Takeaways in Large-scale Human Mobility Data Mining(invited paper). IEEE International Symposium on Local and Metropolitan Area Networks, Jun 2018, Washington, United States.
  • G. Chen, S. Hoteit, A. C. Viana,M. Fiore, C. Sarraute. Forecasting Individual Demand in Cellular Networks. Rencontres  Francophones sur la Conception de Protocoles, l’Évaluation de Performance et l’Expérimentation des Réseaux de Communication, May 2018, Roscoff, France. 2018.
  • G. Chen, A. C. Viana, M. Fiore. Human Trajectory Recovery via Mobile Network Data. Rencontres Francophones sur la Conception de Protocoles, l’Évaluation de Performance et l’Expérimentation des Réseaux de Communication, May 2018, Roscoff, France. 2018.
  • R. Costa, L. Sampaio, A. Ziviani, A. C. Viana. *Humanos no ciclo de Comunicação*. Short course of 36th edition of the Brazilian Symposium on Computer Networks and Distributed Systems (SBRC), Brazilian Computer Society (SBC). To appear as a chapter of book named “Mini-curso SBRC 2018”. May 2018. (ISBN to be defined).
  • H. T. Marques-Neto, F. H. Z. Xavier, W. Z. Xavier, C. H. S. Malab, A. Ziviani, L. M. Silveira, J. M. Almeida, Understanding  Human Mobility and Workload Dynamics Due to Different Large-Scale Events using Mobile Phone Data, Journal of Network and Systems Management, Vol 26, Issue 4, pp. 1079-1100, October 2018.
  • W. Z. Xavier,H. T. Marques-Neto, Modal — A Platform for Mobility Analyses Using Open Datasets, Workshop on Big Social Data and Urban Computing, in conjunction with VLDB’2018.
  • R. L. Costa, L. Sampaio, A. Ziviani, A. C. Viana,  Short Course in conjunction with XXXVI Brazilian Symposium on Computer Networks and Distributed Systems, 2018.

 

Invited talks and conference presentations

  • Aline C. Viana: IEEE International Symposium on Local and Metropolitan Area Networks (Jun. 2018, Washington, US). ACM CHANTS (Oct. 2018) jointly with ACM MobiCom. New Delhi, India. Rencontres Francophones sur la Conception de Protocoles, l’Évaluation de Performance et l’Expérimentation des Réseaux de Communication (May 2018), Roscoff, France. 2018. Brazilian Symposium on Computer Networks and Distributed Systems (May 2018), Campus do Jordao, Brazil.
  • Karsai– Socioeconomic Correlations and Stratification in Social Communication Networks (invited talk), Mobile Tartu 2018, International Conference on 27-29th of June 2018 in Tartu, Estonia.
  • Karsai– Socioeconomic correlations and stratification in social-communication networks (invited talk),Conference on Complex Systems CCS2018 Satellite Meeting “Complex Systems for the Most Vulnerable”, Thessaloniki, 27 September 2018
  • Z. Xavier,H. T. Marques-Neto, Modal — A Platform for Mobility Analyses Using Open Datasets, Workshop on Big Social Data and Urban Computing, in conjunction with VLDB’2018.

PhD and Postdoc seminar: “Conflict graph-based models for Wifi networks” by Marija Stojanova

Friday 28th September, 2018 at 2pm. Location TBA

The first Phd / Postdoc seminar of the 2018 / 2019 calendar will follow the work of DANTE’s Marija Stojanova, who will present her recent research on wireless networks. In particular, we will discuss conflict-graph based models of Wifi.

Abstract – “We describe a performance modeling method that can provide guidance for configuring WLANs and be used as a decision-support tool by a network architect or as an algorithm embedded within a WLAN controller. The proposed approach estimates the attained throughput of each AP using a Divide-and-Conquer strategy which breaks down the original problem into multiple sub-problems. Every sub-problem is solved as a Markov chain and the solutions are then combined to provide the solution to the original problem. ”

 

DL Journal Club: “Human-level control through deep reinforcement learning” digest by Jacobo Levy-Abitbol

Friday, September 21st, 2018 at 11am – LIP meeting room M7 3rd floor

Jacobo Levy-Abitbol will be giving a presentation of the paper “Human-level control through deep reinforcement learning” published by Mnih et al. in Nature in 2015. From the abstract:

Here we use recent advances in training deep neural networks to develop a novel artificial agent, termed a deep Q-network, that can learn successful policies directly from high-dimensional sensory inputs using end-to-end reinforcement learning. We tested this agent on the challenging domain of classic Atari 2600 games.

 

Full details on the Journal Club’s repository.

Human-level control through deep reinforcement learning, Mnih et al. (2015)

 

PhD and Postdoc seminar: “Graph-based semi-supervised learning for classification” by Sarah De Nigris

Thursday, June 28th, 2018 at 3pm – IXXI Conference room M7

Sarah De Nigris will present her latest work on graph-based semi-supervised learning for classification.

The talk is the second in this year’s series of monthly presentations aimed at diffusing graduate research in the DANTE team.

DL Journal Club: “Geometric deep learning on graphs and manifolds” digest by P. Borgnat after M. Bronstein’s talk

Friday, July 13th, 2018 at 1:30pm – IXXI Conference room M7

Pierre Borgnat will be giving a (simplified) presentation of the tutorial “Geometric deep learning on graphs and manifolds” done by Michael Bronstein at the Graph Signal Processing workshop held at EPFL, june 6–8, 2018 . We should prepare for “a mix of Convolutional Neural Networks and Graph Signal Processing”.

There is a tutorial/review article for reference, which can be good to read before the meeting: M. M. Bronstein, J. Bruna, Y. LeCun, A. Szlam, P. Vandergheynst, Geometric deep learning: going beyond Euclidean data, IEEE Signal Processing Magazine 2017.

Full details on the Journal Club’s repository.

Example Laplacian eigenfunctions on Euclidian and non-Euclidian domains used for Spectral CNN, Bronstein et al. (2017)

PhD and Postdoc seminar: “Threshold dynamics on multiplex networks” by Samuel Unicomb

Thursday, May 25th, 2018 at 4pm – IXXI Conference room M7

Samuel Unicomb will present his latest work on binary state dynamics on complex networks. This work was carried out in collaboration with Márton Karsai, Gerardo Iñiguez and János Kertész, and extends recent results by the same authors on stochastic processes on edge-heterogeneous networks. A poster relating the manuscript and the seminar can be found here.

The talk is the first in this year’s series of monthly presentations aimed at diffusing graduate research in the DANTE team.

DL Journal Club: “Convolutional Neural Fabrics” digest by Sébastien Lerique

Friday, May 9th, 2018 at 2pm – IXXI Conference room M7

Sébastien Lerique will give a presentation of the paper “Convolutional Neural Fabrics”  published by Shreyas Saxena and Jakob Verbeek at NIPS 2016. This paper proposes a method to construct neural network architectures by training a fabric of possible architectures instead of relying on expert knowledge.

Full details on the Journal Club’s repository.

Convolutional Neural Fabrics by Shreyas Saxena and Jakob Verbeek (2016)

(Français) Racine

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(Français) CO3i : Projet Connaissances collectives et cognition individuelle

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