Σύγκριση μεθόδων

	Stochastic Actor-Oriented Model	Ανάλυση Κοινωνικών Δικτύων
Πεδίο	Sociology	Ανάλυση Δικτύων
Οικογένεια	Machine learning	Machine learning
Έτος προέλευσης	2001	1934 (sociometry); 1994 (modern formalization)
Δημιουργός	Tom A. B. Snijders	Moreno, J.L.; formalized by Wasserman & Faust
Τύπος	Continuous-time model for longitudinal network and behavior dynamics	Structural/relational analysis framework
Θεμελιώδης πηγή	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
Εναλλακτικές ονομασίες	SAOM, actor-based model, stochastic actor-based model, SIENA model	SNA, network analysis, sociometric analysis, relational analysis
Συναφείς	4	5
Σύνοψη	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.