Work

Comparison of TERGM and SAOM : Statistical analysis of student network data

Year: 2023

Type: article

Abstract: The purpose of this study was to find out what attributes are valid for the edge between students through longitudinal network analysis, and the results of TERGM (temporal exponential random graph model) and SAOM (stochastic actor-oriented model) statistical models were compared.The TERGM model interprets the research results based on the edge formation of the entire network, and the SAOM model interprets the research results on the surrounding networks formed by specific actors.The TERGM model expressed the influence of a previous time through a time term, and the SAOM model considered temporal dependence by implementing a network that evolves by an actor's opportunity as a ratio function.

Source: Korean Journal of Applied Statistics

DOI: 10.5351/kjas.2023.36.1.001

Authors: Yujin Han, Jaehee Kim

Institution: Duksung Women's University

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: bronze

Funders: National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea

Awards: G4303164243, G5018736170, G5557027820, G7679130007