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The size and availability of network information has exploded over
the last decade. Social scientists now share the stage of network
analysis with computer scientists, physicists, and statisticians.
While a number of introductions to network analysis are now
available, most focus on theory, methods, or application alone.
This book integrates all three. Network Analysis is an introduction
to both the why and how of Social Network Analysis (SNA). It
presents a broad theoretical overview rooted in social scientific
approaches and guides users in how network analysis can answer core
theoretical questions. It provides a comprehensive overview of
descriptive and analytical approaches, including practical
tutorials in R with sample data sets. Using an integrated approach,
this book aims to quickly bring novice network researchers up to
speed while avoiding common programming and analysis mistakes so
that they might gain insight into the fundamental theories, key
concepts, and methodological application of SNA.
The size and availability of network information has exploded over
the last decade. Social scientists now share the stage of network
analysis with computer scientists, physicists, and statisticians.
While a number of introductions to network analysis are now
available, most focus on theory, methods, or application alone.
This book integrates all three. Network Analysis is an introduction
to both the why and how of Social Network Analysis (SNA). It
presents a broad theoretical overview rooted in social scientific
approaches and guides users in how network analysis can answer core
theoretical questions. It provides a comprehensive overview of
descriptive and analytical approaches, including practical
tutorials in R with sample data sets. Using an integrated approach,
this book aims to quickly bring novice network researchers up to
speed while avoiding common programming and analysis mistakes so
that they might gain insight into the fundamental theories, key
concepts, and methodological application of SNA.
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