পদ্ধতির তুলনা করুন

	নির্দেশিত নলেজ গ্রাফ বিশ্লেষণ	পরিচালিত সামাজিক নেটওয়ার্ক বিশ্লেষণ
ক্ষেত্র	নেটওয়ার্ক বিশ্লেষণ	নেটওয়ার্ক বিশ্লেষণ
পরিবার	Machine learning	Machine learning
উদ্ভবের বছর	2000s–2010s	1994
প্রবর্তক	Hogan, A. et al. (formalized); roots in Berners-Lee, T. et al. (Semantic Web)	Wasserman, S. & Faust, K.
ধরন	Graph-based knowledge representation and inference	Structural analysis of directed graphs
মৌলিক উৎস	Hogan, A., Blomqvist, E., Cochez, M., d'Amato, C., Melo, G. D., Gutierrez, C., ... & Polleres, A. (2021). Knowledge graphs. ACM Computing Surveys, 54(4), 1–37.	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
অপর নাম	directed KG analysis, knowledge graph mining, directed semantic graph analysis, KG reasoning	directed SNA, digraph analysis, directed graph network analysis, asymmetric network analysis
সম্পর্কিত	6	5
সারসংক্ষেপ	Directed Knowledge Graph Analysis represents factual knowledge as a directed labeled multigraph of entities (nodes) and typed relations (directed edges), enabling structured reasoning, inference, and discovery over large heterogeneous datasets. The direction of edges encodes asymmetric relationships such as 'authored-by', 'causes', or 'is-a', making the graph semantically richer than undirected alternatives.	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.