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DyLNet: Language dynamics, linguistic learning, and sociability at preschool ...
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Dynamics of cascades on burstiness-controlled temporal networks
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In: ISSN: 2041-1723 ; EISSN: 2041-1723 ; Nature Communications ; https://hal.inria.fr/hal-03117999 ; Nature Communications, Nature Publishing Group, 2021, 12 (1), pp.1-9. ⟨10.1038/s41467-020-20398-4⟩ (2021)
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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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Joint embedding of structure and features via graph convolutional networks
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In: ISSN: 2364-8228 ; EISSN: 2364-8228 ; Applied Network Science ; https://hal.inria.fr/hal-02388402 ; Applied Network Science, Springer, 2020, 5 (1), ⟨10.1007/s41109-019-0237-x⟩ (2020)
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Information Adoption via Repeated or Diversified Social Influence on Twitter
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In: ASONAM 2020 - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining ; https://hal.inria.fr/hal-03197971 ; ASONAM 2020 - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Dec 2020, The Hague, Netherlands. pp.237-241, ⟨10.1109/ASONAM49781.2020.9381365⟩ (2020)
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Interpretable socioeconomic status inference from aerial imagery through urban patterns
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In: EISSN: 2522-5839 ; Nature Machine Intelligence ; https://hal.inria.fr/hal-03117994 ; Nature Machine Intelligence, Nature Research, 2020, 2 (11), pp.684-692. ⟨10.1038/s42256-020-00243-5⟩ (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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Threshold driven contagion on weighted networks
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In: ISSN: 2045-2322 ; EISSN: 2045-2322 ; Scientific Reports ; https://hal.inria.fr/hal-01831490 ; Scientific Reports, Nature Publishing Group, 2018, 8 (1), pp.1-10. ⟨10.1038/s41598-018-21261-9⟩ (2018)
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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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Link transmission centrality in large-scale social networks
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In: https://hal.inria.fr/hal-01831482 ; 2018 (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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Abstract:
International audience ; 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 the social network are closer linguistically than disconnected ones, even after the effects of status homophily have been removed. Our results inform sociolinguistic theory and may inspire novel learning methods for the inference of socioeconomic status of people from the way they tweet.
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Keyword:
[INFO.INFO-WB]Computer Science [cs]/Web; [SCCO.LING]Cognitive science/Linguistics
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URL: https://doi.org/10.1145/3178876.3186011
https://hal.inria.fr/hal-01674620
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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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