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.
- 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
- Márton KARSAI (ENS Lyon/DANTE)
- 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.