Skip to main content Accessibility help
Internet Explorer 11 is being discontinued by Microsoft in August 2021. If you have difficulties viewing the site on Internet Explorer 11 we recommend using a different browser such as Microsoft Edge, Google Chrome, Apple Safari or Mozilla Firefox.

Inferential Network Analysis

Authors

, The Ohio State University, , Pennsylvania State University, , 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,…

  • Get access
  • Add bookmark
  • Cite
  • Share

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

About the book

Access options

Review the options below to login to check your access.

Purchase options

There are no purchase options available for this title.

Have an access code?

To redeem an access code, please log in with your personal login.

If you believe you should have access to this content, please contact your institutional librarian or consult our FAQ page for further information about accessing our content.

Also available to purchase from these educational ebook suppliers

Related content

AI generated results by Discovery for publishers [opens in a new window]