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Network Statistical Models for Language Learning Contexts

Exponential Random Graph Models and Willingness to Communicate

Bibliographic Data

ID5145393
AuthorsH Colin Gallagher (0000-0003-0029-7943, University of Melbourne Australia, corresponding author), G Robins (0000-0001-7538-5804, University of Melbourne Australia)
Year2015
Volume65
Issue4
Pages929-962
Publication date2015-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLanguage Learning (JOURNAL)
Journal identifiersISSN: 0023-8333 • E-ISSN: 1467-9922
PublisherWiley (PUBLISHER • GB)
DOI10.1111/lang.12130
OpenAlexW1525240176
LanguageEN
Citations received12
References cited66

As part of the shift within second language acquisition (SLA) research toward complex systems thinking, researchers have called for investigations of social network structure. One strand of social network analysis yet to receive attention in SLA is network statistical models, whereby networks are explained in terms of smaller substructures of social ties. This article offers an overview and instructive demonstration of exponential random graph models as applied to a cohort of English for Academic Purposes students (N = 75) and their willingness to communicate in the second language (L2 WTC). Results indicate that cross-cultural ties build off of intracultural ties through triadic closure (meeting through a mutual contact). Furthermore, situational subtypes of L2 WTC are associated with various network tie patterns

Cognitive psychology · Exponential random graph models · Graph · Interpersonal ties · Linguistics · Multilingualism · Random graph · Situational ethics · Social network (sociolinguistics) · Willingness to communicate · World Wide Web · Computer Science · EFL/ESL Teaching and Learning · Innovative Teaching and Learning Methods · Language, Discourse, Communication Strategies · Psychology · Social Psychology · Theoretical Computer Science

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Unique citing works12
Citations per year1,33
Citation span2017 - 2026 (10)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 12

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