Qualitative analysis of migrants' network data
Using conceptual reflexivity to reveal the ‘magic trick’
Bibliographic Data
| ID | 9954664 |
|---|---|
| Authors | A D''Angelo (0000-0003-2504-4643, University of Derby Derby UK, corresponding author), L Ryan (0000-0003-1386-7212, London Metropolitan University London UK) |
| Year | 2024 |
| Volume | 63 |
| Issue | 2 |
| Publication date | 2024-03-20 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Migration (JOURNAL) |
| Journal identifiers | ISSN: 0020-7985 • E-ISSN: 1468-2435 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/imig.13257 |
| OpenAlex | W4393001915 |
| Language | EN |
| Citations received | 1 |
| References cited | 48 |
While in recent years, qualitative social network analysis (SNA) has advanced considerably – particularly in migration research – there is still an overall tendency to focus more on issues of network structure and on the generation of data, rather than on how data can be interpreted and analysed qualitatively in practice. In this article, we discuss how a genuinely qualitative SNA should not only apply qualitative techniques in generating visual and oral network data but also in the analytical processes. Building on our earlier work, we advance methodological debates by presenting the idea of ‘conceptual reflexivity’: an awareness of how our thinking about networks and the ways in which we interact with participants – and the wider field – inform layers of meaning making. Using two recent examples from our migration research, we explore the inter‐subjectivity of the research encounter, offering insights into the ‘craft’ of qualitative SNA and the epistemological issues underpinning it. In doing so, we aim to make analytical processes more open and visible, to reveal, so to speak, what goes on behind the curtain: the ‘magic trick’ of how qualitative SNA is performed
Epistemology · Machine learning · MAGIC (telescope · Physics · Qualitative property · Qualitative research · Reflexivity · Social science · Sociology · Computer Science · Diaspora, migration, transnational identity · Migration, Refugees, and Integration · Philosophy · Social Capital and Networks
Mixed Methods Social Networks Research
Structural Holes
Captivity, Migration, and Power in Libya
Migrant Capital
Telling Sexual Stories
The Impact of Divorce on Friendships With Couples and Individuals
An End to the Crisis of Empirical Sociology
The missing link
Cognitive social structures
Changing times
The presentation of the networked self
Social network analysis
Disentangling entangled mobilities
Collecting Data or Creating Meaning
Counter moves. Destabilizing the grand narrative of onward migration and secondary movements in Europe
Refugees, migrants, neither, both
Collecting egocentric network data with visual tools
Assessing the stability of egocentric networks over time using the digital participant-aided sociogram tool Network Canvas
Family and Personal Networks in International Migration
Social Resources and Strength of Ties
Qualitative network analysis for migration studies
The networked refugee
Telling network stories
Looking for weak ties
Coping with the Libyan migration crisis
Ethnic Ties
Migrants' Social Networks and Weak Ties
Personal Narratives, Relational Selves
How do migrants' processes of social embedding unfold over time
Visualization in Mixed-Methods Research on Social Networks
Cases, Mechanisms and the Real
The Visual Sociogram in Qualitative and Mixed-Methods Research
Combining Egocentric Network Maps and Narratives
Analyzing Meaning-Making in Network Ties-A Qualitative Approach
Visualizing Personal Networks
Research as care
Utilising social network research in the qualitative exploration of gamblers' social relationships
Chasing shadows
Migrating Cultural Capital
Social Networks, Social Support and Social Capital
Europe's refugee crisis
The Strength of Weak Ties
A plea for the 'de-migranticization' of research on migration and integration
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2025 - 2025 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |