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1	DyLNet: Language dynamics, linguistic learning, and sociability at preschool ...
	Nardy, Aurélie; Chevrot, Jean-Pierre; Fleury, Eric. - : Synapse, 2022
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2	Variation sociolinguistique et réseau social : constitution et traitement d’un corpus de données orales massives1
	Nardy, Aurélie; Bouchet, Hélène; Rousset, Isabelle...
	In: ISSN: 1638-9808 ; EISSN: 1765-3126 ; Corpus ; https://hal.archives-ouvertes.fr/hal-03148217 ; Corpus, Bases, Corpus, Langage - UMR 7320, 2021, Du recueil à l’outillage des corpus oraux : comment accéder à la variation ? (22), ⟨10.4000/corpus.5561⟩ (2021)
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3	Temporal social network reconstruction using wireless proximity sensors: model selection and consequences
	Dai, Sicheng; Bouchet, Hélène; Nardy, Aurélie; Fleury, Eric; Chevrot, Jean-Pierre; Karsai, Màrton
	In: ISSN: 2193-1127 ; EISSN: 2193-1127 ; EPJ Data Science ; https://hal.inria.fr/hal-03117988 ; EPJ Data Science, EDP Sciences, 2020, 9 (1), ⟨10.1140/epjds/s13688-020-00237-8⟩ (2020)
	Abstract: International audience ; The emerging technologies of wearable wireless devices open entirely new ways to record various aspects of human social interactions in a broad range of settings. Such technologies allow to log the temporal dynamics of face-to-face interactions by detecting the physical proximity of participants. However, despite the wide usage of this technology and the collected datasets, precise reconstruction methods transforming the raw recorded communication data packets to social interactions are still missing.In this study we analyse a proximity dataset collected during a longitudinal social experiment aiming to understand the co-evolution of children’s language development and social network. Physical proximity and verbal communication of hundreds of pre-school children and their teachers are recorded over three years using autonomous wearable low power wireless devices. The dataset is accompanied with three annotated ground truth datasets, which record the time, distance, relative orientation, and interaction state of interacting children for validation purposes.We use this dataset to explore several pipelines of dynamical event reconstruction including earlier applied naïve approaches, methods based on Hidden Markov Model, or on Long Short-Term Memory models, some of them combined with supervised pre-classification of interaction packets. We find that while naïve models propose the worst reconstruction, Long Short-Term Memory models provide the most precise way to reconstruct real interactions up to∼90% accuracy. Finally, we simulate information spreading on the reconstructed networks obtained by the different methods. Results indicate that small improvement of network reconstruction accuracy may lead to significantly different spreading dynamics, while sometimes large differences inaccuracy have no obvious effects on the dynamics. This not only demonstrates the importance of precise network reconstruction but also the careful choice of the reconstruction method in relation with the data collected. Missing this initial step in any study may seriously mislead conclusions made about the emerging properties of the observed network or any dynamical process simulated on it.
	Keyword: [INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]; Data driven modelling of spreading processes; Physical proximity networks; Supervised learning; Temporal network reconstruction
	URL: https://doi.org/10.1140/epjds/s13688-020-00237-8 https://hal.inria.fr/hal-03117988
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4	Temporal social network reconstruction using wireless proximity sensors: model selection and consequences.
	Dai, Sicheng; Bouchet, Hélène; Nardy, Aurélie...
	In: Network Science Society Conference 2020 (NetSci 2020) ; https://hal.archives-ouvertes.fr/hal-03512483 ; Network Science Society Conference 2020 (NetSci 2020), Sep 2020, Rome, Italy (2020)
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5	Recueil non supervisé et traitement d’un corpus oral dense et massif dans une école maternelle : un exemple avec le projet DyLNet
	Nardy, Aurélie; Rousset, Isabelle; Bouchet, Hélène...
	In: 10èmes Journées Internationale de la Linguistique de Corpus ; https://hal.archives-ouvertes.fr/hal-02462341 ; 10èmes Journées Internationale de la Linguistique de Corpus, Nov 2019, Grenoble, France (2019)
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6	Interaction reconstruction methods for large-scale RFID social experiments
	Dai, Sicheng; Karsai, Màrton; Bouchet, Hélène...
	In: IC2S2 2019 - 5th International Conference on Computational Social Science ; https://hal.archives-ouvertes.fr/hal-02476480 ; IC2S2 2019 - 5th International Conference on Computational Social Science, Jul 2019, Amsterdam, Netherlands (2019)
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7	Variations linguistiques et réseau social : enjeux d’un recueil non supervisé de données massives
	Nardy, Aurélie; Chevrot, Jean-Pierre; Bouchet, Hélène...
	In: Colloque international « 50 ans de linguistique sur corpus oraux : apports à l’étude de la variation » ; https://hal.univ-grenoble-alpes.fr/hal-01941151 ; Colloque international « 50 ans de linguistique sur corpus oraux : apports à l’étude de la variation », Nov 2018, Orléans, France (2018)
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8	Acoustic Variability in Nonhuman Primates: Individuality and Social Context
	Bouchet, Hélène; Blois-Heulin, Catherine; Lemasson, Alban
	In: 8th International Conference on the Evolution of Language (Evolang 8) - Workshop ‘Birdsong/animal communication and the evolution of speech’ ; https://hal.archives-ouvertes.fr/hal-01307048 ; 8th International Conference on the Evolution of Language (Evolang 8) - Workshop ‘Birdsong/animal communication and the evolution of speech’, Utrecht Institute of Linguistics OTS, Apr 2010, Utrecht, Netherlands (2010)
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