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Inferential Network Analysis (Paperback) Loot Price: R1,362
Discovery Miles 13 620
Inferential Network Analysis (Paperback): Skyler J. Cranmer, Bruce A. Desmarais, Jason W. Morgan

Inferential Network Analysis (Paperback)

Skyler J. Cranmer, Bruce A. Desmarais, Jason W. Morgan

Series: Analytical Methods for Social Research

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Loot Price R1,362 Discovery Miles 13 620 | Repayment Terms: R128 pm x 12*

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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

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