UID:
almafu_9961294705202883
Format:
1 online resource (xxiii, 292 pages) :
,
digital, PDF file(s).
ISBN:
1-009-02840-5
,
1-009-02868-5
,
1-316-66291-8
,
9781107158122
Series Statement:
Analytical methods for social research
Content:
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.
Note:
Title from publisher's bibliographic system (viewed on 29 Oct 2020).
Additional Edition:
ISBN 1-107-15812-5
Additional Edition:
Print version ISBN 9781107158122
Language:
English
URL:
https://doi.org/10.1017/9781316662915
