Linganisha mbinu

	Mwanamitindo wa Mfumo wa Mfumo wa Mitandao ya Kielelezo ya Kuelekezwa	Uchambuzi wa Mitandao ya Kijamii Iliyoongozwa
Nyanja	Uchanganuzi wa Mitandao	Uchanganuzi wa Mitandao
Familia	Machine learning	Machine learning
Mwaka wa asili	1986 (foundations); 2007 (modern directed ERGM formulation)	1994
Mwanzilishi	Frank, O. & Strauss, D.; extended by Robins, Pattison, Kalish & Lusher	Wasserman, S. & Faust, K.
Aina	Statistical generative model for directed networks	Structural analysis of directed graphs
Chanzo asilia	Robins, G., Pattison, P., Kalish, Y. & Lusher, D. (2007). An introduction to exponential random graph (p*) models for social networks. Social Networks, 29(2), 173-191.	Wasserman, S. & Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press. ISBN: 978-0-521-38707-1
Majina mbadala	Directed ERGM, p-star model (directed), directed p* model, directed Markov graph model	directed SNA, digraph analysis, directed graph network analysis, asymmetric network analysis
Zinazohusiana	4	5
Muhtasari	The Directed Exponential Random Graph Model (Directed ERGM) is a family of statistical models for directed networks that estimates the probability of observing a given directed graph as a function of structural configurations — such as reciprocity, transitive triads, and in-degree centralization — and node or dyad covariates, enabling principled inference about the social processes that generate directed ties.	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.