Skyler J Cranmer, Bruce A Desmarais, Jason W Morgan

Inferential Network Analysis

• Gebundenes Buch

Produktbeschreibung

Pioneering introduction of unprecedented breadth and scope to inferential and statistical methods for network analysis.

Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 314
• Erscheinungstermin: 7. Januar 2021
• Englisch
• Abmessung: 231mm x 196mm x 20mm
• Gewicht: 590g
• ISBN-13: 9781107158122
• ISBN-10: 1107158125
• Artikelnr.: 60064819

Autorenporträt

Skyler J. Cranmer is the Carter Phillips and Sue Henry Professor of Political Science at The Ohio State University.

Inhaltsangabe

Part I. Dependence and Interdependence: 1. Promises and Pitfalls of Inferential Network Analysis
2. Detecting and Adjusting for Network Dependencies
Part II. The Family of Exponential Random Graph Models (ERGMs): 3. The Basic ERGM
4. ERGM Specification
5. Estimation and Degeneracy
6. ERG Type Models for Longitudinally Observed Networks
7. Valued-Edge ERGMs: The Generalized ERGM (GERGM)
Part III. Latent Space Network Models: 8. The Basic Latent Space Model
9. Identification, Estimation and Interpretation of the Latent Space Model
10. Extending the Latent Space Model.