Monitoring of Social Network and Change Detection by Applying Statistical Process: ERGM
The statistical modeling of social network data needs much effort because of the complex dependence structure of the tie variables. In order to formulate such dependences, the statistical exponential families of distributions can provide a flexible structure. In this regard, the statistical charact...
Main Authors: | Farshid Rajabi, Abbas Saghaei, Soheil Sadinejad |
---|---|
Format: | Article |
Language: | English |
Published: |
Islamic Azad University, Qazvin Branch
2020-03-01
|
Series: | Journal of Optimization in Industrial Engineering |
Subjects: | |
Online Access: | http://www.qjie.ir/article_667925_6becd8089b37760b60fe9dc631fb50aa.pdf |
Similar Items
-
Analysing the Structure of the Global Wheat Trade Network: An ERGM Approach
by: Ester Gutiérrez-Moya, et al.
Published: (2020-12-01) -
Networked solidarity economy: Gender in interorganizational networks. An evaluation with ERGMs
by: Natalia Garrido-Skurkowicz, et al.
Published: (2022-04-01) -
Redes académicas al interior de las escuelas chilenas: Un estudio exploratorio utilizando Modelos Exponenciales de Grafos Aleatorios (ERGM)
by: Diego Palacios, et al.
Published: (2016-06-01) -
Network Anomaly Detection Using Exponential Random Graph Models and Autoregressive Moving Average
by: Michail Tsikerdekis, et al.
Published: (2021-01-01) -
Hourly Network Anomaly Detection on HTTP Using Exponential Random Graph Models and Autoregressive Moving Average
by: Richard Li, et al.
Published: (2023-08-01)