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Network analysis [electronic resource]: integrating social network theory, method, and application with R / Daniel A. McFarland, Stanford University, Jeffrey A. Smith, University of Nebraska, Lincoln, James Moody, Duke University, North Carolina, Craig M. Rawlings, Duke University, North Carolina.

By: Contributor(s): Material type: TextSeries: Sass structural analysis in the social sciencesPublisher: New York : Cambridge University Press, 2023Edition: 1 EditionDescription: 1 digital resource (478 pages)​Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781139794985
  • 978-1-107-03778-6
  • 978-1-107-61190-0
Subject(s): Additional physical formats: Print version:: Network analysisDDC classification:
  • 302.3072 23/eng/20230410
LOC classification:
  • HM741
Summary: "For both students and professionals seeking to understand the burgeoning field of network analysis, our text offers a comprehensive overview that integrates theory, method, and cutting-edge application with R (a free platform that is becoming the standard for the field)"-- Provided by publisher.
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Item type Current library Shelving location Copy number Status
Electronic Materials CamTech Library Digital Collections 1 digital Available

"For both students and professionals seeking to understand the burgeoning field of network analysis, our text offers a comprehensive overview that integrates theory, method, and cutting-edge application with R (a free platform that is becoming the standard for the field)"-- Provided by publisher.

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