विधियों की तुलना करें

	निर्देशित सामाजिक नेटवर्क विश्लेषण	सामाजिक नेटवर्क विश्लेषण
क्षेत्र	नेटवर्क विश्लेषण	नेटवर्क विश्लेषण
परिवार	Machine learning	Machine learning
उद्भव वर्ष	1994	1934 (sociometry); 1994 (modern formalization)
प्रवर्तक	Wasserman, S. & Faust, K.	Moreno, J.L.; formalized by Wasserman & Faust
प्रकार	Structural analysis of directed graphs	Structural/relational analysis framework
मौलिक स्रोत	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
उपनाम	directed SNA, digraph analysis, directed graph network analysis, asymmetric network analysis	SNA, network analysis, sociometric analysis, relational analysis
संबंधित	5	5
सारांश	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.