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      Book

      Mixed Methods Social Network Analysis
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      Book

      Mixed Methods Social Network Analysis

      DOI link for Mixed Methods Social Network Analysis

      Mixed Methods Social Network Analysis book

      Theories and Methodologies in Learning and Education

      Mixed Methods Social Network Analysis

      DOI link for Mixed Methods Social Network Analysis

      Mixed Methods Social Network Analysis book

      Theories and Methodologies in Learning and Education
      Edited ByDominik E. Froehlich, Martin Rehm, Bart C. Rienties
      Edition 1st Edition
      First Published 2019
      eBook Published 20 December 2019
      Pub. Location London
      Imprint Routledge
      DOI https://doi.org/10.4324/9780429056826
      Pages 292
      eBook ISBN 9780429056826
      Subjects Education, Research Methods
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      Froehlich, D.E., Rehm, M., & Rienties, B.C. (Eds.). (2019). Mixed Methods Social Network Analysis: Theories and Methodologies in Learning and Education (1st ed.). Routledge. https://doi.org/10.4324/9780429056826

      ABSTRACT

      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.

      TABLE OF CONTENTS

      chapter 1|9 pages

      MMSNA

      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 2|12 pages

      Mapping mixed methods approaches to social network analysis in learning and education

      ByDominik E. Froehlich

      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
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