方法对比

	Stochastic Actor-Oriented Model	Relational Event Model
领域	Sociology	Sociology
方法族	Machine learning	Regression model
起源年份	2001	2008
提出者	Tom A. B. Snijders	Carter T. Butts
类型	Continuous-time model for longitudinal network and behavior dynamics	Event-history model for time-stamped relational events
开创性文献	Snijders, T. A. B. (2001). The statistical evaluation of social network dynamics. Sociological Methodology, 31(1), 361–395.	Butts, C. T. (2008). A relational event framework for social action. Sociological Methodology, 38(1), 155–200.
别名	SAOM, actor-based model, stochastic actor-based model, SIENA model	REM, relational event framework, dynamic network event model, event-history network model
相关	4	4
摘要	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.	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.