Find books, journal articles and other MelNet publications



Exponential random graph models (ERGMs) are increasingly applied to observed network data and are central to understanding social structure and network processes. This edited volume provides a self-contained, exhaustive account of the theoretical and methodological underpinnings of ERGMs.

Doing Social Network Research

With straight-forward guidance on research design and data collection, as well as social network analysis, this book takes you start to finish through the whole process of doing network research.




Multilevel networks

Networks provide a more complex representation of interdependence. In our research we extend exponential random graph models (ERGMs) to multilevel networks. We present a general formulation of a multilevel network structure.


Social Network Analysis for Ego-Nets

Ego networks are a form of network data where relational ties are only collected for a set of independent, distinct, focal actors. Ties among their nominated contacts occasionally also are elicited. This book is a comprehensive treatment of ego networks, from introductory definitions and theory to advanced, statistical longitudinal analysis.

See our representative list of publications by the MelNet team below