Testing biological network motif significance with exponential random graph models

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 20 Dec 2025Publisher:ZenodoFunded by:SNSF | Advancing the applicabili..., SNSF | The Global Structure of K...

Authors: Stivala, Alex; Lomi, Alessandro;

doi: 10.5281/zenodo.17993364 , 10.5281/zenodo.17993363

Testing biological network motif significance with exponential random graph models

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Abstract

If you use this software, please cite: Stivala, A. (2023). New network models facilitate analysis of biological networks. arXiv preprint arXiv:2312.06047 https://arxiv.org/abs/2312.06047 Stivala, A. & Lomi, A. (2021). Testing biological network motif significance with exponential random graph models. Applied Network Science 6:91. https://doi.org/10.1007/s41109-021-00434-y as well as this DOI.

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SNSF| Advancing the applicability of exponential random graph models (ERGMs) for the analysis of social and other networks: Algorithms, implementation, and applications, SNSF| The Global Structure of Knowledge Networks: Data, Models and Empirical Results