Inferential Network Analysis (Paperback)

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.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Series:	Analytical Methods for Social Research
Release date:	November 2020
Authors:	Skyler J. Cranmer • Bruce A. Desmarais • Jason W. Morgan
Dimensions:	230 x 150 x 20mm (L x W x T)
Format:	Paperback - Trade
Pages:	314
ISBN-13:	978-1-316-61085-5
Categories:	Books > Reference & Interdisciplinary > Communication studies > Research methods Books > Social sciences > Sociology, social studies > Social research & statistics > General Books > Social sciences > Politics & government > Political structure & processes > General Books > Business & Economics > Business & management > Management & management techniques > Organizational theory & behaviour
LSN:	1-316-61085-3
Barcode:	9781316610855

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!