Relational event models (REMs) for the analysis of social interaction were first introduced 15
years ago. Since then, a number of important substantive and methodological contributions …

The relational event model (REM) facilitates the study of network evolution in relational
event history data, ie, time-ordered sequences of social interactions. In real-life social …

Relational event networks arise naturally from social interactions: interactions can be
considered time-stamped edges between vertices of social actors. By studying the factors …

Advances in information technology have increased the availability of time-stamped
relational data, such as those produced by email exchanges or interaction through social …

Sequences of relational events underlie much empirical research on organizational
relations. Yet relational event data are typically aggregated and dichotomized to derive …

In recent years there has been an increasing interest in the use of relational event models
for dynamic social network analysis. The basis of these models is the concept of an “event” …

We assess the reliability of relational event model (REM) parameters estimated under two
sampling schemes:(1) uniform sampling from the observed events and (2) case–control …

The relational event model (REM) solves a problem for organizational researchers who
have access to sequences of time-stamped interactions. It enables them to estimate …

Ample theoretical work on social networks is explicitly or implicitly concerned with the role of
interpersonal interaction. However, empirical studies to date mostly focus on the analysis of …

Relational event models are becoming increasingly popular in modeling temporal dynamics
of social networks. Due to their nature of combining survival analysis with network model …