Linganisha mbinu

	Uchambuzi wa Mitandao ya Kijamii Iliyoongozwa	Umuhimu wa Shahada (Degree Centrality)
Nyanja	Uchanganuzi wa Mitandao	Uchanganuzi wa Mitandao
Familia	Machine learning	Machine learning
Mwaka wa asili	1994	1978
Mwanzilishi	Wasserman, S. & Faust, K.	Freeman, L. C.
Aina	Structural analysis of directed graphs	Node-level centrality measure
Chanzo asilia	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1	Freeman, L. C. (1978). Centrality in social networks: Conceptual clarification. Social Networks, 1(3), 215–239.
Majina mbadala	directed SNA, digraph analysis, directed graph network analysis, asymmetric network analysis	node degree, degree score, DC, connectivity centrality
Zinazohusiana	5	6
Muhtasari	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.	Degree centrality is the simplest and most intuitive measure of a node's importance in a network, defined as the number of direct ties a node has to other nodes. Normalized by dividing by the maximum possible ties, it allows comparison across networks of different sizes and is the starting point of almost every network analysis.