Moving with the times: investigating the alt-right network gab with temporal interaction graphs NA Arnold, B Steer, I Hafnaoui, HA Parada G, RJ Mondragón, F Cuadrado, ... Proceedings of the ACM on Human-Computer Interaction 5 (CSCW2), 1-17, 2021 | 7 | 2021 |
Likelihood-based approach to discriminate mixtures of network models that vary in time NA Arnold, RJ Mondragón, RG Clegg Scientific reports 11 (1), 5205, 2021 | 7 | 2021 |
Non-Markovian paths and cycles in NFT trades H Yousaf, NA Arnold, R Lambiotte, T LaRock, RG Clegg, P Zhong, ... arXiv preprint arXiv:2303.11181, 2023 | 3 | 2023 |
Studying evolving complex networks N Arnold Queen Mary University of London, 2021 | 2 | 2021 |
Raphtory: The temporal graph engine for Rust and Python B Steer, N Arnold, CT Ba, R Lambiotte, H Yousaf, L Jeub, F Murariu, ... arXiv preprint arXiv:2306.16309, 2023 | 1 | 2023 |
Reconstructing degree distribution and triangle counts from edge-sampled graphs NA Arnold, RJ Mondragón, RG Clegg International Conference on Complex Networks and Their Applications, 297-309, 2022 | 1 | 2022 |
Insights and caveats from mining local and global temporal motifs in cryptocurrency transaction networks NA Arnold, P Zhong, CT Ba, B Steer, R Mondragon, F Cuadrado, ... arXiv preprint arXiv:2402.09272, 2024 | | 2024 |
Using a Bayesian approach to reconstruct graph statistics after edge sampling NA Arnold, RJ Mondragón, RG Clegg Applied Network Science 8 (1), 80, 2023 | | 2023 |
Changing the tune: mixtures of network models that vary in time NA Arnolda, RJ Mondragóna, RG Clegga CoRR, 2019 | | 2019 |