Inferential Network Analysis Skyler J. Cranmer, Bruce A. Desmarais, and Jason W. Morgan is an English-language textbook on inferential network models. This reference work is suitable for students in higher education and professionals in the social sciences and related disciplines.
The book provides a thorough introduction to statistical inference for network data. Methods are systematically derived and formulated mathematically, illustrated with practical examples and applications from a wide range of social science fields, from management to political science. Particular attention is given to the exponential random graph model and the latent space network model.
This publication supports researchers and students in independently carrying out network analyses using data and code in the R environment. It combines theoretical depth with concrete applications and thus contributes to a better understanding of inferential network and statistical network methods.
Topics align with research methods, social statistics, and political science. Series: Analytical Methods for Social Research