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> Inferential Network Analysis

Inferential Network Analysis

Authors

Skyler J. Cranmer, The Ohio State University, Bruce A. Desmarais, Pennsylvania State University, Jason W. Morgan, The Ohio State University
Published 2020

Description

This unique textbook provides an introduction to statistical inference with network data. The authors present a self-contained derivation and mathematical formulation of methods, review examples, and real-world applications, as well as provide data and code in the R environment that can be customised. Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from management to electoral politics), which can be adapted and applied to a panorama of research. From scholars to undergraduates, spanning the social,…

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Key features

  • For the first time provides wide-ranging and descriptive treatment of inferential network analysis that transcends fields
  • Applies detailed theoretical discussions in non-specialist language
  • Implements real-world and customisable examples in each chapter, complete with data and R code

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