Abstract
This study tests the use of social network analysis in the diagnostics of personal communities as relational systems that affect how languages are learned. The egocentric approach of this methodology was applied to identifying the personal networks of adult immigrants attending a literacy program. The study is an exploratory and descriptive analysis with EgoNet software based on five cases. The results show small networks with few significant “alters” (five to eight), without weak ties in areas of relationship with neighbours or other acquaintances, and in which the prevailing language of communication was the same as that of “ego” – with, in some cases, multicultural networks using different languages of communication.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
