Sammenlign metoder

	Relational Event Model	Stochastic Actor-Oriented Model
Fagområde	Sociology	Sociology
Familie	Regression model	Machine learning
Oprindelsesår	2008	2001
Ophavsperson	Carter T. Butts	Tom A. B. Snijders
Type	Event-history model for time-stamped relational events	Continuous-time model for longitudinal network and behavior dynamics
Oprindelig kilde	Butts, C. T. (2008). A relational event framework for social action. Sociological Methodology, 38(1), 155–200.	Snijders, T. A. B. (2001). The statistical evaluation of social network dynamics. Sociological Methodology, 31(1), 361–395.
Aliasser	REM, relational event framework, dynamic network event model, event-history network model	SAOM, actor-based model, stochastic actor-based model, SIENA model
Relaterede	4	4
Resumé	The relational event model (REM), introduced by Carter Butts in 2008, analyzes streams of time-stamped interactions — emails, radio calls, messages, citations — as a continuous-time event-history process. Rather than treating a network as a static set of ties, it models the instantaneous rate at which any sender directs an action at any receiver as a function of the history of past events, letting researchers test how prior interaction shapes future interaction.	The stochastic actor-oriented model (SAOM), implemented in the SIENA software, is a framework for analyzing the dynamics of social networks observed at two or more time points. It treats observed network panels as snapshots of an unobserved continuous-time process in which actors, at stochastically timed moments, evaluate their local network and decide whether to create, maintain, or drop a tie so as to improve their position according to an objective function.