পদ্ধতির তুলনা করুন

	পরিচালিত সামাজিক নেটওয়ার্ক বিশ্লেষণ	সমাজ নেটওয়ার্ক বিশ্লেষণ
ক্ষেত্র	নেটওয়ার্ক বিশ্লেষণ	নেটওয়ার্ক বিশ্লেষণ
পরিবার	Machine learning	Machine learning
উদ্ভবের বছর	1994	1934 (sociometry); 1994 (modern formalization)
প্রবর্তক	Wasserman, S. & Faust, K.	Moreno, J.L.; formalized by Wasserman & Faust
ধরন	Structural analysis of directed graphs	Structural/relational analysis framework
মৌলিক উৎস	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
অপর নাম	directed SNA, digraph analysis, directed graph network analysis, asymmetric network analysis	SNA, network analysis, sociometric analysis, relational analysis
সম্পর্কিত	5	5
সারসংক্ষেপ	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.