Institute for Research on sustainable Development
UMR 215 PRODIG
5, cours des Humanités 5
F-93 322 Aubervilliers - France
gauvinlaetitia [at] gmail [dot] com
Tizzani, M., Gauvin, L.. Socioeconomic determinants of protective behaviors and contact patterns in the post-COVID-19 pandemic era: A cross-sectional study in Italy . PLOS Computational Biology 21 (8) (2025).
Gauvin, L., & Randon-Furling, J. Segregation in cities . Compendium of Urban Complexity, 137 (2025).
Safar, P. G., Gauvin, L., Louail, T., & Thomas, J. Disruptions in Music Listening Behaviors During Lockdowns . Proceedings of the International AAAI Conference on Web and Social Media (2025).
Gauvin, L. Gaps in gender and socioeconomic mobility disparity studies . Nature Computational Science, 4, 963–635 (2024).
Gauvin, L. Human transport systems and sustainability . Sustainability Science: understand, construct, transform, 3 (2024).
Dal'Amico, L., Kleynhans, J., Gauvin, L., Tizzoni, M., Ozella, L., Makhasi, M., Wolter, N., du Plessis, L., Cohen, C., et al. Estimating household contact matrices structure from easily collectable metadata . PLOS Computational Biology 19 (3) (2024).
Delussu, F., Tizzoni, M., & Gauvin, L. The limits of human mobility traces to predict the spread of COVID-19: A transfer entropy approach .PNAS Nexus, 3, pgad302 (2023)
Kleynhans, J., Dal'Amico, L., Gauvin, L., Tizzoni, M., Makhasi, M., Wolter, N., von Gottberg, A., Wafawanaka, S., Manson, N., et al. Association of close-range contact patterns with SARS-CoV-2: a household transmission study . eLife 12:e84753 (2023) .
Gauvin, L., Génois, M., Karsai, M., Kivelä, M., Takaguchi, T., Valdano, E., & Vestergaard, C. L. Randomized reference models for temporal networks . SIAM Review, 64(4), 763-830 (2022).
Folco, P., Gauvin, L., Tizzoni, M., & Szell, M. Data-driven micromobility network planning for demand and safety . Environment and Planning B: Urban Analytics and City Science, (2022).
Delussu, F., Tizzoni, M., & Gauvin, L. Evidence of pandemic fatigue associated with stricter tiered COVID-19 restrictions . PLOS Digital Health, 1(5), e0000035(2022).
Tizzoni, M., Nsoesie, E. O., Gauvin, L., Karsai, M., Perra, N., & Bansal, S. Addressing the socioeconomic divide in computational modeling for infectious diseases .. Nature Communications, 13(1), (2022).
Klanjčić, M., Gauvin, L., Tizzoni, M., & Szell, M. Identifying urban features for vulnerable road user safety in Europe . EPJ data science, 11(1), 1-15 (2022).
Mazzoli, M., Pepe, E., Mateo, D., Cattuto, C., Gauvin, L., Bajardi, P., Tizzoni, M., Hernando, A., Meloni, S., Ramasco, J. Interplay between mobility, multi-seeding and lockdowns shapes COVID-19 local impact. PLoS computational biology, 17(10), e1009326 (2021).
Gauvin, L., Bajardi, P., Pepe, E., Lake, B., Privitera, F., & Tizzoni, M. Socio-economic determinants of mobility responses during the first wave of COVID-19 in Italy: from provinces to neighbourhoods . Journal of The Royal Society Interface, 18(181), 20210092 (2021).
E. Pepe, P. Bajardi, L. Gauvin, F. Privitera, B. Lake, C. Cattuto, M. Tizzoni. COVID-19 outbreak response, a dataset to assess mobility changes in Italy following national lockdown . Scientific data, 7(1), 1-7 (2020).
L. Gauvin, M. Tizzoni, S. Piaggesi, A. Young, N. Adler, S. Verhulst, L. Ferres, C. Cattuto Gender gaps in urban mobility . Humanities and Social Sciences Communications, 7(1), 1-13 (2020).
M. Torricelli, M. Karsai, L .Gauvin weg2vec: Event embedding for temporal networks . Scientific Reports, 10(1), 1-11,(2020).
L. Ozella, J. Langford, L. Gauvin, E. Price, C. Cattuto, D. P. Croft The effect of age, environment and management on social contact patterns in sheep . Applied Animal Behaviour Science, 104964, (2020).
S. Piaggesi, L. Gauvin, M. Tizzoni, C. Cattuto, N. Adler, S. Verhulst, A. Young, and R. Price,L. Ferres, A. Panisson Predicting City Poverty Using Satellite Imagery . Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (pp. 90-96) (2019).
L. Ozella, L. Gauvin, L. Carenzo, M. Quaggiotto, et al. Wearable proximity sensors for monitoring a mass casualty incident exercise: a feasibility study . JMIR, (2019).
A. Sapienza, A. Barrat, C. Cattuto, L. Gauvin Estimating the outcome of spreading processes on networks with incomplete information: A dimensionality reduction approach . Physical Review E, 98(1), 012317 (2018).
F. Parino, M. G. Beiro , L. Gauvin Analysis of the bitcoin blockchain: Socio-economic factors behind the adoption . EPJ Data Science 7 (1), 38 (2018).
T. Peixoto, L. Gauvin Change points, memory and epidemic spreading in temporal networks . Scientific reports 8.1 (2018).
A. Sapienza, A. Barrat, C. Cattuto, L. Gauvin Estimating the outcome of spreading processes on networks with incomplete information: A dimensionality reduction approach . Physical Review E, 98(1), 012317 (2018).
L. Gauvin, M. Génois, M. Karsai, M. Kivelä, T. Takaguchi, E. Valdano, C. L. Vestergaard Randomized reference models for temporal networks . arXiv preprint arXiv:1806.04032 (2018).
L. Alessandretti, M. Karsai, L. Gauvin User-based representation of time-resolved multimodal public transportation networks . Open Science 3.7 (2016).
L. Gauvin, A. Panisson, A. Barrat, C. Cattuto. Revealing latent factors of temporal networks for mesoscale intervention in epidemic spread. (2015).
L. Gauvin, A. Panisson, C. Cattuto. Detecting the community structure and activity patterns of temporal networks: a non-negative tensor factorization approach. PLOS ONE 9.1 (2014): e86028. DOI
A. Panisson, L. Gauvin, M. Quaggiotto, C. Cattuto. Mining Concurrent Topical Activity in Microblog Streams. Proc. of the the 4th Workshop on Making Sense of Microposts, co-located with the 23rd Intl. World Wide Web Conference (WWW 2014), Seoul, Korea, April 2014 (Best Paper Award). arXiv:1403.1403
L. Gauvin, A. Panisson, C. Cattuto, A. Barrat. Activity clocks: spreading dynamics on temporal networks of human contact. Scientific Reports, v. 3, p. 3099, 2013. DOI
A. Panisson, L. Gauvin, A. Barrat, C. Cattuto. Fingerprinting temporal networks of close-range human proximity. Intl. Workshop on the Impact of Human Mobility in Pervasive Systems and Applications (PerMoby 2013), March 18 2013, San Diego, CA. DOI
L. Gauvin, A. Vignes, J. P. Nadal. Modeling urban housing market dynamics: can the socio-spatial segregation preserve some social diversity? . Journal of Economic Dynamics and Control, 37(7), 1300-1321.
L. Gauvin, J. P. Nadal, J. Vannimenus. Schelling segregation in an open city: a kinetically constrained Blume-Emery-Griffiths spin-1 system. Phys. Rev. E 81 , 066120 (2010).
L. Gauvin, J. Vannimenus, J. P. Nadal. Phase diagram of a Schelling segregation model. Eur. Phys. J. B 70 , 293--304 Gauvin, L., Vannimenus, J., & Nadal, J. P. (2009).
March 2025 – Colloquium, ENS Physics, Lyon.
November 2024 – « Du Monde d’Avant au Monde d’Après » (MAMA) Colloquium, Paris.
December 2023 – Preventing and Controlling Diseases in the Built Environment of City Regions: France–Singapore Cross-Views, Université Paris 1 Panthéon-Sorbonne, Paris.
June 2023 – STIC-AmSud Workshop on Leveraging Federated Mobility Learning for Tactile Internet Services, INRIA Saclay.
January 2023 – Complex Systems in Social Science Seminar, EHESS–CAMS, Paris.
January 2023 – Computational Social Science (CSS) Seminar Series, Centre Marc Bloch, Berlin.
June 2022 – French Conference on Complex Systems, Paris.
June 2022 – Towards greener and sustainable cities The Alan Turing Institute , Exeter.
December 2021 – Spatial analytics + Data panel, Alan Turing Institute (online).
October 2021 – ATI/UAP-ITINERANT workshop on Mobility Data in Urban Science, London (online) .
May 2021 – Scuola di Politiche, Corso Impact, Italy .
May 2021 – Data Science Institute, Facultad de Ingeniería , Universidad del Desarrollo (online) .
September 2020 – Higher-Order Models in Network Science, satellite workshop at CCS 2020.
December 2019 – Workshop on Using Mobile Telephony Data for Societal Insight, Complex Systems Hub, Vienna.
September 2019 – Workshop on Higher-Order Interactions, University of Oxford.
June 2019 – Engineering Workshop in Network Science, EPFL, Lausanne.
May 2019 – Critical and Collective Effects in Graphs and Networks, Les Houches School of Physics, France.
September 2018 – Extracting and Analysing Networks from Spatio-Temporal Data, CCS'18 satellite workshop, "Urban Mobility from a Gendered Perspective through Mobile Phone Data", Thessaloniki.
September 2018 – Tensors Workshop, "Tensor-Based Methods for Temporal Networks", Turin.
June 2018 – BlockNet 2018, NetSci satellite workshop, "Analysis of the Bitcoin Blockchain: Socio-Economic Factors Behind the Adoption", Paris.
June 2018 – RESCOM Summer School on Data Science, Network Science and Machine Learning, "Introduction to Network Science", Porquerolles.
November 2017 – IMERA Lecture, "Data Science for Network Analysis", Marseille.
June 2017 – Machine Learning in Network Science, Indianapolis.
July 2016 – Symposium: Cities as Complex Systems, Hanover.
June 2015 – Analysis of Networks for Social Sciences Day, organized in the context of the EHESS 40th Anniversary.
May 2015 – Colloquium: Mathematical Sciences to the Proof of Human & Social Sciences, Université Paris Panthéon-Sorbonne.
May 2015 – Urban Economics Seminar, LIEPP Sciences Po, Paris, France.
6 July 2013 – Colloquium: Understanding Urban Conflicts, Université Paris Panthéon-Sorbonne, France.
30–31 May 2011 – Colloquium: Mathematical Sciences to the Proof of Human & Social Sciences, Université Paris Panthéon-Sorbonne.
1–3 September 2010 – Optimal Transport and Kinetics Applied to Socio-Economics Conference, Université Toulouse 1, Toulouse.
SlidesMobility behaviour
Transportation networks
Temporal and structural patterns