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Inferential Network Analysis (Analytical Methods for Social Research) - Hardcover

 
9781107158122: Inferential Network Analysis (Analytical Methods for Social Research)
  • PublisherCambridge University Press
  • Publication date2021
  • ISBN 10 1107158125
  • ISBN 13 9781107158122
  • BindingHardcover
  • LanguageEnglish
  • Number of pages314

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Hardcover. Condition: new. Hardcover. 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. Introduces foundational statistical models for network data, augmenting theoretical discussion with applications across the social sciences implemented in the R language. An introductory text or reference for researchers, graduate students, and advanced undergraduate students across the social, mathematical, computational and physical sciences. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781107158122

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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces foundational statistical models for network data, augmenting theoretical discussion with applications across the social sciences implemented in the R language. An introductory text or reference for researchers, graduate students, and advanced und. Seller Inventory # 398041957

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