Mixed Methods in Egonet Analysis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Bibliographical metadata

Original languageEnglish
Title of host publicationNetworks in the Global World V
Subtitle of host publicationProceedings of NetGloW 2020
EditorsArtem Antonyuk, Nikita Basov
PublisherSpringer Nature
Pages15-33
Number of pages19
Volume5
ISBN (Electronic)9783030648770
ISBN (Print)9783030648763
Publication statusPublished - 20 Feb 2021

Publication series

NameLecture Notes in Networks and Systems
Volume181