Сравнение на методи

	Relational Event Model	Stochastic Actor-Oriented Model
Област	Sociology	Sociology
Семейство	Regression model	Machine learning
Година на възникване	2008	2001
Създател	Carter T. Butts	Tom A. B. Snijders
Тип	Event-history model for time-stamped relational events	Continuous-time model for longitudinal network and behavior dynamics
Основополагащ източник	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.
Други названия	REM, relational event framework, dynamic network event model, event-history network model	SAOM, actor-based model, stochastic actor-based model, SIENA model
Свързани	4	4
Резюме	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.