Power and Multicollinearity in Small Networks: A Discussion of “Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks” by Krivitsky, Coletti, and Hens
Work
Year: 2023
Type: article
Abstract: The recent work by Krivitsky, Coletti & Hens [KCH] provides an important new contribution to the Exponential-Family Random Graph Models [ERGMs], a start-to-finish approach to dealing with multi-networ... more
Author George G. Vega Yon
Institution University of Utah
Cites: 12
Cited by: 2
Related to: 10
FWCI: 0.449
Citation percentile (by year/subfield): 71.7
Subfield: Statistical and Nonlinear Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Sustainable Development Goal Reduced inequalities
Open Access status: hybrid