Changing times: migrants’ social network analysis and the challenges of longitudinal research

Article


Ryan, L. and D'Angelo, A. 2018. Changing times: migrants’ social network analysis and the challenges of longitudinal research. Social Networks. 53, pp. 148-158. https://doi.org/10.1016/j.socnet.2017.03.003
TypeArticle
TitleChanging times: migrants’ social network analysis and the challenges of longitudinal research
AuthorsRyan, L. and D'Angelo, A.
Abstract

Focusing on migrant social networks, this paper draws upon the sociology of time to incorporate complex notions of temporality into the research process. In so doing, we consider firstly, the challenge of going ‘beyond the snapshot’ in data collection to capture dynamism through time. Secondly, we apply the concepts of timescapes to explore ways of addressing the wider context and the interplay between spatiality, temporality and relationality in migration research. We argue that integrating a mixed methods approach to SNA, crucially including visualisation, can provide a useful methodological and analytical framework to understand dynamics.
SNA can also be helpful in bridging the personal and structural dimensions in migration research, by providing a meso level of analysis. However, it is also important to connect the investigation of local and transnational networks with an analysis of the broader social, economic and political contexts in which these take shape; in other words, connecting the micro and the meso with the wider macro level. Drawing upon reflections from our migration research studies, we argue that different combinations of quantitative, qualitative and visual methods do not just provide richer sets of data and insights, but can allow us to better connect conceptualisations – and ontologies – of social networks with specific methodological frameworks.

KeywordsMigration research; Temporality; Spatiality; Mixed methods; Visualisation
Research GroupSocial Policy Research Centre (SPRC)
PublisherElsevier
JournalSocial Networks
ISSN0378-8733
Publication dates
Online15 Mar 2017
Print01 May 2018
Publication process dates
Deposited20 Mar 2017
Accepted15 Jan 2017
Output statusPublished
Publisher's version
License
Copyright Statement

© 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/).

Digital Object Identifier (DOI)https://doi.org/10.1016/j.socnet.2017.03.003
LanguageEnglish
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