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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.
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.
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