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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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Abstract:
Our usage of language is not solely reliant on cognition but is arguably determined by myriad external factors leading to a global variability of linguistic patterns. This issue, which lies at the core of sociolinguistics and is backed by many small-scale studies on face-to-face communication, is addressed here by constructing a dataset combining the largest French Twitter corpus to date with detailed socioeconomic maps obtained from national census in France. We show how key linguistic variables measured in individual Twitter streams depend on factors like socioeconomic status, location, time, and the social network of individuals. We found that (i) people of higher socioeconomic status, active to a greater degree during the daytime, use a more standard language; (ii) the southern part of the country is more prone to use more standard language than the northern one, while locally the used variety or dialect is determined by the spatial distribution of socioeconomic status; and (iii) individuals connected in ... : In WWW 2018: The Web Conference, 10 pages, 6 figures ...
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Keyword:
Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences; FOS Physical sciences; Machine Learning stat.ML; Physics and Society physics.soc-ph; Social and Information Networks cs.SI
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URL: https://arxiv.org/abs/1804.01155
https://dx.doi.org/10.48550/arxiv.1804.01155
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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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Social interactions and language development at preschool: benefits from interdisciplinarity and big data
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In: Many Paths to Language (MPaL) ; https://hal.inria.fr/hal-01676764 ; Many Paths to Language (MPaL), Oct 2017, Nimègue, Netherlands (2017)
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