방법 비교

	Stochastic Actor-Oriented Model	사회 연결망 분석
분야	Sociology	네트워크 분석
계열	Machine learning	Machine learning
기원 연도	2001	1934 (sociometry); 1994 (modern formalization)
창시자	Tom A. B. Snijders	Moreno, J.L.; formalized by Wasserman & Faust
유형	Continuous-time model for longitudinal network and behavior dynamics	Structural/relational analysis framework
원전	Snijders, T. A. B. (2001). The statistical evaluation of social network dynamics. Sociological Methodology, 31(1), 361–395.	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
별칭	SAOM, actor-based model, stochastic actor-based model, SIENA model	SNA, network analysis, sociometric analysis, relational analysis
관련	4	5
요약	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.	Social Network Analysis (SNA) is a structural method that maps and measures relationships and flows between people, groups, organizations, or other entities modeled as nodes connected by ties (edges). Rather than focusing on individual attributes, SNA reveals how the pattern of connections shapes behavior, influence, information flow, and outcomes within a system.