Telling network stories: researching migrants’ changing social relations in places over time

Ryan, Louise (2020) Telling network stories: researching migrants’ changing social relations in places over time. Global Networks, 21 (3). pp. 567-584. ISSN 1471-0374

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Abstract / Description

This article is situated at the nexus of migration research and qualitative social network analysis (SNA). While migration scholars often engage with networks simply as metaphors, I go further by examining how a thorough engagement with qualitative SNA can contribute to migration research in at least three key ways. First, exploring changing relational ties over time and across different places, including transnationally, I demonstrate that qualitative SNA offers new insights into how migrants make sense of these dynamic relationships. Second, following Dahinden (2016), I examine how using networks as a data collection method can help to unsettle the a priori ethnic lens in researching migration. Moreover, building on the pioneering work of network scholars such as Mische and White, I aim to make a methodological contribution by analysing how social networks are co-constructed as stories and pictures in research encounters.

Item Type:	Article
Additional Information:	This is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For an understanding of what is meant by the terms of the Creative Commons License, please refer to Wiley’s Open Access Terms and Conditions: https://authorservices.wiley.com/author-resources/Journal-Authors/licensing/index.html. Permission is not required for this type of reuse.
Uncontrolled Keywords:	ethnic lens; migration; qualitative social network analysis; sociograms; stories; transnationality
Subjects:	300 Social sciences
Department:	School of Social Sciences and Professions
Depositing User:	Louise Ryan
Date Deposited:	03 Sep 2020 09:38
Last Modified:	20 Jul 2021 11:09
URI:	https://repository.londonmet.ac.uk/id/eprint/6026

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