ergmito: Estimation of Little ‘ERGMs’ using exact likelihood
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Updated
Sep 11, 2026 - R
ergmito: Estimation of Little ‘ERGMs’ using exact likelihood
R function to detect multicollinearity in ERGM
Exponential Random Graph Models and network visuals on a small network that represents knowledge sharing between firms in an industry cluster
Network-analysis package.
Fancy tables for ERGM models
Data and code to Estévez, Kisfalusi & Takács (2022) 'More than one's negative ties: The role of friends' antipathies in high school gossip'. Social Networks, 70, 77-89.
Analysis of the global trade network for 2018, 2020, and 2022 using network theory, Exponential Random Graph Models (ERGM), and Stochastic Block Models. Non-structural, persistent, and statistically significant nodal determinants of international trade are identified, as well as a marked differentiation between countries.
Analysis of the global trade network for 2018, 2020, and 2022 using network theory, Exponential Random Graph Models (ERGM), and Stochastic Block Models. Non-structural, persistent, and statistically significant nodal determinants of international trade are identified, as well as a marked differentiation between countries.
A small, dependency-light Exponential Random Graph Model simulator for teaching and presentations.
In this report, I used social network analysis techniques to study the Huawei's customer connecting pattern. This report is based on the data from Huawei Social Network Data on Kaggle platform. Data Link: https://www.kaggle.com/datasets/andrewlucci/huawei-social-network-data
Descriptive and empirical network analysis of deep trade agreements, testing homophily and transitivity in trade agreements networks
Materials for reproducing "Exponential-Family Random Graph Models in Resident-Healthcare Provider Networks: An Application using data from Long-term Healthcare Facilities in the United States" (Social Networks, in press)
Analysis of college students' classroom connectedness using exponential random graph models (ERGMs).
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