Mixed Methods Social Network Analysis brings together diverse perspectives from 42 international experts on how to design, implement, and evaluate mixed methods social network analysis (MMSNA). There is an increased recognition that social networks can be important catalysts for change and transformation.

This edited book from leading experts in mixed methods and social network analysis describes how researchers can conceptualize, develop, mix, and intersect diverse approaches, concepts, and tools. In doing so, they can improve their understanding and insights into the complex change processes in social networks. Section 1 includes eight chapters that reflect on "Why should we do MMSNA?", providing a clear map of MMSNA research to date and why to consider MMSNA. In Section 2 the remaining 11 chapters are dedicated to the question "How do I do MMSNA?", illustrating how concentric circles, learning analytics, qualitative structured approaches, relational event modeling, and other approaches can empower researchers.

This book shows that mixing qualitative and quantitative approaches to social network analysis can empower people to understand the complexities of change in networks and relations between people. It shows how mixed analysis can be applied to a wide range of data generated by diverse global communities: American school children, Belgian teachers, Dutch medical professionals, Finnish consultants, French school children, and Swedish right-wing social media users, amongst others. It will be of great interest to researchers and postgraduate students in education and social sciences and mixed methods scholars.

chapter 1|9 pages


An introduction of a tale of two communities
ByDominik E. Froehlich, Martin Rehm, Bart C. Rienties

section Section 1|99 pages

Why do mixed methods social network analysis?

chapter 3|13 pages

Data collection for mixed method approaches in social network analysis

ByManuel Längler, Jasperina Brouwer, Hans Gruber

chapter 4|11 pages

Integrating units of analysis

ByDominik E. Froehlich, Mathias Mejeh, Sarah Galey, Judith Schoonenboom

chapter 5|9 pages

Visual methods and representations in mixed methods (and) social network research

A discussion
ByPeggy Shannon-Baker, Jonathan C. Hilpert

chapter 6|14 pages

Minding the gap between culture and connectivity

Laying the foundations for a relational mixed methods social network analysis
ByPetter Törnberg, Anton Törnberg

chapter 7|15 pages

Ethnographic mixed methods social network analysis research

Convergence, opportunities, and challenges
ByMarc Sarazin

chapter 8|14 pages

Mixed methods social network analysis to drive organizational development

ByTuire Palonen, Dominik E. Froehlich

chapter 9|9 pages

Identity development through interactions in social networks

A complex systems approach
ByJudith Schoonenboom

section Section 2|167 pages

How do we do mixed methods social network analysis?

chapter 10|13 pages

Social network analysis and activity theory

A symbiotic relationship
ByVictoria L. Murphy, Allison Littlejohn, Bart C. Rienties

chapter 11|13 pages

Exploring social relationships in “a mixed way”

Mixed structural analysis
ByDominik E. Froehlich

chapter 12|20 pages

Unpacking the collegial network structure of beginning teachers’ primary school teams

A mixed method social network study
ByLaura Thomas, Melissa Tuytens, Geert Devos, Geert Kelchtermans, Ruben Vanderlinde

chapter 13|16 pages

Around and around

The concentric circles method as a powerful tool to collect mixed method network data
BySara Van Waes, Piet Van den Bossche

chapter 14|14 pages

Reflections about intersecting mixed methods research with social network analysis

BySinem Toraman, Vicki L. Plano Clark

chapter 15|17 pages

The role of knowing and valuing others’ expertise in accelerating information exchange

ByKaterina Bohle Carbonell, Chris Marcum, Karen D. Könings, Patricia M. Stassen, Mien Segers, Jeroen van Merriënboer

chapter 16|13 pages

Is mixed methods social network analysis ethical?

ByMaina Korir, Jenna Mittelmeier, Bart C. Rienties

chapter 17|12 pages

Automation and the journey to mixed methods social network analysis

ByDominik E. Froehlich, Christoforos Mamas, Herwig W. Schneider

chapter 18|14 pages

Power to the people?! Twitter discussions on (educational) policy processes

ByMartin Rehm, Frank Cornelissen, Ad Notten, Alan Daly, Jonathan Supovitz

chapter 19|18 pages

The PRICE of mixed methods social network analysis

Toward an ethical process for MMSNA
ByAnthony J. Onwuegbuzie

chapter 20|15 pages

Powers and limitations of MMSNA

Critical reflections and moving forward
ByBart C. Rienties