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DyLNet: Language dynamics, linguistic learning, and sociability at preschool ...
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Temporal social network reconstruction using wireless proximity sensors: model selection and consequences
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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)
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Temporal social network reconstruction using wireless proximity sensors: model selection and consequences.
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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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Interaction reconstruction methods for large-scale RFID social experiments
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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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Variations du (ne) négatif du français dans Twitter. Que peut apporter l’étude des données massives aux questions de sociolinguistique ?
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In: CILPR 2019 - XXIXe Congrès international de linguistique et de philologie romanes ; https://hal.archives-ouvertes.fr/hal-01970511 ; CILPR 2019 - XXIXe Congrès international de linguistique et de philologie romanes, Jul 2019, Copenhague, Danemark (2019)
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Correlations and dynamics of consumption patterns in social-economic networks
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In: ISSN: 1869-5450 ; EISSN: 1869-5469 ; Social Network Analysis and Mining ; https://hal.inria.fr/hal-01697280 ; Social Network Analysis and Mining, Springer, 2018, 8, pp.1-16. ⟨10.1007/s13278-018-0486-1⟩ (2018)
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Prepaid or Postpaid? That Is the Question: Novel Methods of Subscription Type Prediction in Mobile Phone Services
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In: Social Network Based Big Data Analysis and Applications ; https://hal.inria.fr/hal-01831494 ; Social Network Based Big Data Analysis and Applications, Springer, pp.165-181, 2018, Lecture Notes in Social Networks, ⟨10.1007/978-3-319-78196-9_8⟩ (2018)
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Socioeconomic dependencies of linguistic patterns in Twitter: a multivariate analysis
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In: WWW '18 - World Wide Web Conference ; https://hal.inria.fr/hal-01674620 ; WWW '18 - World Wide Web Conference, Apr 2018, Lyon, France. pp.1125-1134, ⟨10.1145/3178876.3186011⟩ ; https://www2018.thewebconf.org/ (2018)
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Location, Occupation, and Semantics Based Socioeconomic Status Inference on Twitter
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In: ICDMW 2018 - IEEE International Conference on Data Mining Workshops ; https://hal.inria.fr/hal-02061219 ; ICDMW 2018 - IEEE International Conference on Data Mining Workshops, Nov 2018, Singapore, Singapore. pp.1192-1199, ⟨10.1109/ICDMW.2018.00171⟩ (2018)
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Socioeconomic and network dependencies of linguistic patterns in Twitter
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In: IC2S2 2018 - 4th Annual International Conference on Computational Social Science ; https://hal.archives-ouvertes.fr/hal-01970536 ; IC2S2 2018 - 4th Annual International Conference on Computational Social Science, Jul 2018, Evanston, Illinois, United States (2018)
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Socioeconomic Dependencies of Linguistic Patterns in Twitter: A Multivariate Analysis ...
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The optional realization of the French negative particle (ne) on Twitter: Space, status and time
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In: New Ways of Analyzing Variation 46 ; https://hal.archives-ouvertes.fr/hal-01832374 ; New Ways of Analyzing Variation 46, Nov 2017, Madison, United States (2017)
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Socioeconomic and network dependencies of linguistic patterns in Twitter
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In: COMPLEX NETWORKS 2017 - 6th International Conference on Complex Networks and Their Applications ; https://hal.inria.fr/hal-01674632 ; COMPLEX NETWORKS 2017 - 6th International Conference on Complex Networks and Their Applications, Nov 2017, Lyon, France ; http://complexnetworks.org/ (2017)
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The study of optional realization of the French negative particle (ne) on Twitter: Is Sociolinguistics compatible with the Big Data?
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In: New Ways of Analyzing Variation 46 (NWAV46) ; https://hal.inria.fr/hal-01676770 ; New Ways of Analyzing Variation 46 (NWAV46), Nov 2017, Madison, United States (2017)
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Optional realisation of the French negative particle (ne) on Twitter: Can big data reveal new sociolinguistic patterns?
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In: CCS 2017 - Conference on Complex Systems ; https://hal.inria.fr/hal-01675038 ; CCS 2017 - Conference on Complex Systems , Sep 2017, Cancun, Mexico ; http://ccs17.unam.mx/ (2017)
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How social, economic and demographic forces shape linguistic variation on Twitter
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In: POPLANG 2017 - Workshop Population effects on languages: Modelling population dynamics and language transmission from the perspective of language learning, contact and change ; https://hal.inria.fr/hal-01675037 ; POPLANG 2017 - Workshop Population effects on languages: Modelling population dynamics and language transmission from the perspective of language learning, contact and change, Nov 2017, Lyon, France (2017)
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Language acquisition and sociolinguistic variation: the social, the cognitive, and the network
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In: Variation in Language Acquisition (ViLA3) ; https://hal.inria.fr/hal-01456304 ; Variation in Language Acquisition (ViLA3), University of Salzburg, Feb 2017, Salzburg, Germany ; http://www.uni-salzburg.at/index.php?id=203752 (2017)
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Prepaid or Postpaid? That is the question. Novel Methods of Subscription Type Prediction in Mobile Phone Services
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In: https://hal.inria.fr/hal-01610931 ; 2017 (2017)
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Optional realization of the French negative particule (ne) on Twitter: Can big data reveal new sociolinguistic patterns?
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In: ICLAVE 9 2017 - International Conference on Language Variation in Europe ; https://hal.inria.fr/hal-01456302 ; ICLAVE 9 2017 - International Conference on Language Variation in Europe, Jun 2017, Malaga, Spain ; http://www.iclave9.uma.site/ (2017)
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