Σύγκριση μεθόδων

	Sequence Analysis	Ανάλυση Κοινωνικών Δικτύων
Πεδίο	Sociology	Ανάλυση Δικτύων
Οικογένεια	Process / pipeline	Machine learning
Έτος προέλευσης	1980s–2000 (sociological consolidation)	1934 (sociometry); 1994 (modern formalization)
Δημιουργός	Andrew Abbott (introduced to sociology)	Moreno, J.L.; formalized by Wasserman & Faust
Τύπος	Holistic analysis of categorical state sequences over time	Structural/relational analysis framework
Θεμελιώδης πηγή	Abbott, A., & Tsay, A. (2000). Sequence analysis and optimal matching methods in sociology: review and prospect. Sociological Methods & Research, 29(1), 3–33.	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
Εναλλακτικές ονομασίες	social sequence analysis, life-course sequence analysis, categorical sequence analysis, trajectory analysis	SNA, network analysis, sociometric analysis, relational analysis
Συναφείς	5	5
Σύνοψη	Sequence analysis is a holistic method for studying ordered categorical trajectories — such as month-by-month employment states, family life-course events, or daily activity patterns — by treating each individual's whole sequence as a unit, measuring how dissimilar pairs of sequences are, and grouping them into a typology of characteristic pathways. Introduced to sociology by Andrew Abbott, it shifts attention from isolated transitions to the shape of entire life courses.	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.