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.
A small, dependency-light Exponential Random Graph Model simulator for teaching and presentations.
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.
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
Analysis of college students' classroom connectedness using exponential random graph models (ERGMs).
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)
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