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Analyzing social networks using R /

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...

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Bibliographic Details
Main Authors: Borgatti, Stephen P. (Author), Everett, Martin G., 1955- (Author), Johnson, Jeffrey C. (Author), Agneessens, Filip (Author)
Format: Book
Language:English
Published: Los Angeles : SAGE Publications, [2022].
Subjects:
Online social networks > Data processing.
R (Computer program language)
Table of Contents:
  • Introduction
  • Mathematical foundations
  • Research design
  • Data collection
  • Data management
  • Multivariate techniques used in network analysis
  • Visualization
  • Local node-level measures
  • Centrality
  • Group-level measures
  • Subgroups and community detection
  • Equivalence
  • Analyzing two-mode data
  • Introduction to inferential statistics for complete networks
  • ERGMs and SAOMs.