Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications - Couverture rigide

Couverture rigide

ISBN 10 : 0521193567 ISBN 13 : 9780521193566

Editeur : Cambridge University Press, 2012

Synopsis

This book provides an account of the theoretical and methodological underpinnings of exponential random graph models (ERGMs).

A propos du livre

À propos des auteurs

Dr Dean Lusher is Lecturer in Sociology at Swinburne University of Technology. He works closely with leading methodologists to develop an intuitive understanding of exponential graph models, how they link to broader network theory, and how to fit them to real-life data. His research applications are directed at issues of social norms and social hierarchies.

Dr Johan Koskinen is Lecturer in Social Sciences at the University of Manchester. He is a statistician working with statistical modeling and inference. Focusing on social network data, Dr Koskinen deals with generative models for different types of structures, such as longitudinal network data, networks nested in multilevel structures, and multilevel networks classified by affiliations.

Garry Robins is Professor in the School of Psychological Sciences at the University of Melbourne. Robins is a mathematical psychologist whose research deals with quantitative and statistical models for social and relational systems. His research has won international awards from the Psychometric Society, the American Psychological Association, and the International Network for Social Network Analysis.

Détails de l'édition

• Éditeur: Cambridge University Press
• Date d'édition: 2012
• Langue: anglais
• ISBN 10: 0521193567
• ISBN 13: 9780521193566
• Reliure: Relié
• Nombre de pages: 352
• Éditeur: Lusher Dean, Koskinen Johan, Robins Garry
• Coordonnées du fabricant: Cambridge University Press; https://www.cambridge.org/; ; Via Honduras,15; Pomezia; Italia; 71; Italie