ABSTRACT Social Network Analysis is a widely used approach in psychology, as in social
science, economics and other fields. The peculiarity of this perspective is that it focuses not …

Many methods for the description of social network structural properties are concerned with
the dual notions of social position and social role. Common goals of these methods are to …

Abstract In 1983, Holland, Laskey, and Leinhardt, using the ideas of Holland and Leinhardt,
and Fienberg and Wasserman, introduced the notion of a stochastic blockmodel. The …

Network data involving relational structure representing interactions between actors are
commonly represented by graphs where the actors are referred to as vertices or nodes, and …

Survey methodology has a tradition in statistics of focusing on populations and samples.
Samples of population units are selected according to probabilistic sampling designs. By …

Network structures appear in many different areas: social relations between individuals,
economic transactions, spread of infections, behavioural patterns among children, co …

Both design-controlled and the model-based random samples are encountered in all areas
of applied statistics. Generally speaking, statistical analysis is not confined to designs or …

The first part of this paper presents a statistical model which integrates individual, relational
and network data, despite their different units of analysis. The model uses a stepwise …

We review standard multivariate statistical methods useful for exploring network data and
discuss various problems related to statistical analysis and modeling. General methods are …

Correspondence analysis, a data analytic technique used to study two‐way cross‐
classifications, is applied to social relational data. Such data are frequently termed …