Σύγκριση μεθόδων

	Ανάλυση Κατευθυνόμενων Κοινωνικών Δικτύων	Ανάλυση Κοινωνικών Δικτύων
Πεδίο	Ανάλυση Δικτύων	Ανάλυση Δικτύων
Οικογένεια	Machine learning	Machine learning
Έτος προέλευσης	1994	1934 (sociometry); 1994 (modern formalization)
Δημιουργός	Wasserman, S. & Faust, K.	Moreno, J.L.; formalized by Wasserman & Faust
Τύπος	Structural analysis of directed graphs	Structural/relational analysis framework
Θεμελιώδης πηγή	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
Εναλλακτικές ονομασίες	directed SNA, digraph analysis, directed graph network analysis, asymmetric network analysis	SNA, network analysis, sociometric analysis, relational analysis
Συναφείς	5	5
Σύνοψη	Directed Social Network Analysis (directed SNA) studies networks in which every tie has an explicit direction — from a sender to a receiver — rather than treating relationships as symmetric. It extends the classical SNA toolkit with in-degree, out-degree, reciprocity, and asymmetric path measures, making it the appropriate framework wherever relationship direction carries substantive meaning, such as citation flows, advice-seeking, follower graphs, or information cascades.	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.