Publications

1. Steer, B., Arnold, N., Ba, C., Lambiotte, R., Yousaf, H., Jeub, L., Murariu, F., Kapoor, S., Rico, P., & Chan, R. (2023). Raphtory: The temporal graph engine for Rust and Python. arXiv preprint arXiv:2306.16309.
2. Yousaf, H., Arnold, N., Lambiotte, R., LaRock, T., Clegg, R., Zhong, P., Alnaimi, A., & Steer, B. (2023). Non-Markovian paths and cycles in NFT trades. arXiv preprint arXiv:2303.11181.
3. Arnold, N., Mondragón, R., & Clegg, R. (2023). Using a Bayesian approach to reconstruct graph statistics after edge sampling. .
4. Arnold, N., Mondragón, R., & Clegg, R. (2022). Reconstructing degree distribution and triangle counts from edge-sampled graphs. International Conference on Complex Networks and Their Applications.
5. Arnold, N. (2021). Studying evolving complex networks. .
6. Arnold, N., Mondragón, R., & Clegg, R. (2021). Likelihood-based approach to discriminate mixtures of network models that vary in time. Scientific reports.
7. Arnold, N., Steer, B., Hafnaoui, I., Parada G, H., Mondragón, R., Cuadrado, F., & Clegg, R. (2021). Moving with the times: investigating the alt-right network gab with temporal interaction graphs. Proceedings of the ACM on Human-Computer Interaction.
8. Arnold, N., Mondragón, R., & Clegg, R. (2019). Changing the tune: mixtures of network models that vary in time. CoRR.