Mixed Methods in Egonet Analysis

Elisa Bellotti

Mixed Methods in Egonet Analysis

Sociology

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-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.

Original language	English
Title of host publication	Networks in the Global World V
Subtitle of host publication	Proceedings of NetGloW 2020
Editors	Artem Antonyuk, Nikita Basov
Publisher	Springer Nature
Pages	15-33
Number of pages	19
Volume	5
ISBN (Electronic)	9783030648770
ISBN (Print)	9783030648763
Publication status	Published - 20 Feb 2021

Publication series

Name	Lecture Notes in Networks and Systems
Volume	181

Keywords

Mixed methods - Social network analysis - Egonet typologies - SNA models - Qualitative data

Access to Document

https://link.springer.com/chapter/10.1007/978-3-030-64877-0_2

Cite this

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title = "Mixed Methods in Egonet Analysis",

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.",

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AU - Bellotti, Elisa

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N2 - 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.

AB - 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.

KW - Mixed methods - Social network analysis - Egonet typologies - SNA models - Qualitative data

M3 - Conference contribution

SN - 9783030648763

VL - 5

T3 - Lecture Notes in Networks and Systems

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BT - Networks in the Global World V

A2 - Antonyuk, Artem

A2 - Basov, Nikita

PB - Springer Nature

ER -

Mixed Methods in Egonet Analysis

Abstract

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Keywords

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