Social network analysis that uses mixed methods has gained momentum in the last ten to fifteen years. Although not new, as SNA can count on a long and illustrious tradition of qualitative and ethnographic studies, the approach that relies on qualitative methods in data collection, analysis and interpretation, and mixes it with more or less sophisticated statistical modelling, has been the centre of theoretical and methodological debates. Drawing on empirical examples that combine various quantitative and qualitative tools in collecting, contextualizing, analysing and interpreting social network data, this article illustrates how mixed methods can be used in egonets analysis. After discussing the ontological and epistemological foundations of SNA, the article illustrates how to build egonets typologies, model their outcomes, and test and reformulate social network theory. Without pretending to be exhaustive, the article offers a solid and rounded guide to mixed methods in egonets analysis.
|Title of host publication||Networks in the Global World V|
|Subtitle of host publication||Proceedings of NetGloW 2020|
|Editors||Artem Antonyuk, Nikita Basov|
|Number of pages||19|
|Publication status||Published - 20 Feb 2021|
|Name||Lecture Notes in Networks and Systems|
- Mixed methods - Social network analysis - Egonet typologies - SNA models - Qualitative data