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This approachable book introduces network research in R, walking
you through every step of doing social network analysis. Drawing
together research design, data collection and data analysis, it
explains the core concepts of network analysis in a non-technical
way. The book balances an easy to follow explanation of the
theoretical and statistical foundations underpinning network
analysis with practical guidance on key steps like data management,
preparation and visualisation. With clarity and expert insight, it:
* Discusses measures and techniques for analyzing social network
data, including digital media * Explains a range of statistical
models including QAP and ERGM, giving you the tools to approach
different types of networks * Offers digital resources like
practice datasets and worked examples that help you get to grips
with R software
This approachable book introduces network research in R, walking
you through every step of doing social network analysis. Drawing
together research design, data collection and data analysis, it
explains the core concepts of network analysis in a non-technical
way. The book balances an easy to follow explanation of the
theoretical and statistical foundations underpinning network
analysis with practical guidance on key steps like data management,
preparation and visualisation. With clarity and expert insight, it:
* Discusses measures and techniques for analyzing social network
data, including digital media * Explains a range of statistical
models including QAP and ERGM, giving you the tools to approach
different types of networks * Offers digital resources like
practice datasets and worked examples that help you get to grips
with R software
Designed to walk beginners through core aspects of collecting,
visualizing, analyzing, and interpreting social network data, this
book will get you up-to-speed on the theory and skills you need to
conduct social network analysis. Using simple language and
equations, the authors provide expert, clear insight into every
step of the research process-including basic maths
principles-without making assumptions about what you know. With a
particular focus on NetDraw and UCINET, the book introduces
relevant software tools step-by-step in an easy to follow way. In
addition to the fundamentals of network analysis and the research
process, this Second Edition focuses on: Digital data and social
networks like Twitter Statistical models to use in SNA, like QAP
and ERGM The structure and centrality of networks Methods for
cohesive subgroups/community detection Supported by new chapter
exercises, a glossary, and a fully updated companion website, this
text is the perfect student-friendly introduction to social network
analysis.
The ego-net approach to social network analysis, which takes
discrete individual actors and their contacts as its starting
point, is one of the most widely used approaches in the field. This
is the first textbook to take readers through each stage of ego-net
research, from conception, through research design and data
gathering to analysis. It starts with the basics, assuming no prior
knowledge of social network analysis, but then moves on to
introduce cutting edge innovations, covering both new statistical
approaches to ego-net analysis and also the most recent thinking on
mixing methods (quantitative and qualitative) to achieve depth and
rigour. It is an absolute must for anybody wishing to explore the
importance of networks.
The ego-net approach to social network analysis, which takes
discrete individual actors and their contacts as its starting
point, is one of the most widely used approaches in the field. This
is the first textbook to take readers through each stage of ego-net
research, from conception, through research design and data
gathering to analysis. It starts with the basics, assuming no prior
knowledge of social network analysis, but then moves on to
introduce cutting edge innovations, covering both new statistical
approaches to ego-net analysis and also the most recent thinking on
mixing methods (quantitative and qualitative) to achieve depth and
rigour. It is an absolute must for anybody wishing to explore the
importance of networks.
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