ergmito: Estimation of Little ‘ERGMs’ using exact likelihood

Exponential Random Graph Models and network visuals on a small network that represents knowledge sharing between firms in an industry cluster

R function to detect multicollinearity in ERGM

Network-analysis package.

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.

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

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.

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).

Fancy tables for ERGM models