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Title Mixed methods social network analysis : theories and methodologies in learning and education / edited by Dominik E. Froehlich, Martin Rehm and Bart C. Rienties
Published London ; New York : Routledge, 2020


Description 1 online resource (x, 280 pages) : illustrations
Contents Foreword -- 1 MMSNA: an introduction of a tale of two communities -- Section 1 Why do mixed methods social network analysis? -- 2 Mapping mixed methods approaches to social network analysis in learning and education -- 3 Data collection for mixed method approaches in social network analysis -- 4 Integrating units of analysis -- 5 Visual methods and representations in mixed methods (and) social network research: a discussion -- 6 Minding the gap between culture and connectivity: laying the foundations for a relational mixed methods social network analysis -- 7 Ethnographic mixed methods social network analysis research: convergence, opportunities, and challenges -- 8 Mixed methods social network analysis to drive organizational development -- 9 Identity development through interactions in social networks: a complex systems approach -- Section 2 How do we do mixed methods social network analysis? -- 10 Social network analysis and activity theory: a symbiotic relationship -- 11 Exploring social relationships in "a mixed way": mixed structural analysis -- 12 Unpacking the collegial network structure of beginning teachers' primary school teams: a mixed method social network study -- 13 Around and around: the concentric circles method as a powerful tool to collect mixed method network data -- 14 Reflections about intersecting mixed methods research with social network analysis -- 15 The role of knowing and valuing others' expertise in accelerating information exchange -- 16 Is mixed methods social network analysis ethical? -- 17 Automation and the journey to mixed methods social network analysis -- 18 Power to the people?! Twitter discussions on (educational) policy processes -- 19 The PRICE of mixed methods social network analysis: toward an ethical process for MMSNA -- 20 Powers and limitations of MMSNA: critical reflections and moving forward
Summary 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
Bibliography Includes bibliographical references and index
Notes Dominik E. Froehlich is a postdoctoral researcher at the Department of Education at the University of Vienna. His research focuses on mixed methods and social network analysis, as well as on (informal) learning in the workplace. Martin Rehm is a postdoctoral research fellow at the University of Education in Weingarten, Germany. He also holds the position of Transfermanager for the Institute for Educational Consultancy at the same university. Bart C. Rienties leads the Open University's innovative efforts in learning analytics as program director. His research interests include a range of social influences on education, such as collaborative use of educational technology, the role of motivation in learning, and internationalization in higher education
Description based on print version record
Subject Social networks.
Social Support
Social networks.
Form Electronic book
Author Froehlich, Dominik E., editor
Rehm, Martin, editor.
Rienties, Bart, editor.
ISBN 9780429552571