Wow! eBook
Inferential Network Analysis
Author(s): Skyler J. Cranmer (Author), Bruce A. Desmarais (Author), Jason W. Morgan (Author)
- Publisher: Cambridge University Press
- Publication Date: 19 Nov. 2020
- Language: English
- Print length: 314 pages
- ISBN-10: 1316610853
- ISBN-13: 9781316610855
Book 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, mathematical, computational and physical sciences, readers will be introduced to inferential network models and their extensions. The exponential random graph model and latent space network model are paid particular attention and, fundamentally, the reader is given the tools to independently conduct their own analyses.
