7 citations · 10 across the 6 of their papers we have counts for
6 papers
Insights and caveats from mining local and global temporal motifs in cryptocurrency transaction networks
Naomi A. Arnold, Peijie Zhong, Cheick Tidiane Ba +5
Distributed ledger technologies have opened up a wealth of fine-grained transaction data from cryptocurrencies like Bitcoin and Ethereum. This allows research into problems like an…
Raphtory: The temporal graph engine for Rust and Python
Ben Steer, Naomi Arnold, Cheick Tidiane Ba +15
Raphtory is a platform for building and analysing temporal networks. The library includes methods for creating networks from a variety of data sources; algorithms to explore their…
Non-Markovian paths and cycles in NFT trades
Haaroon Yousaf, Naomi A. Arnold, Renaud Lambiotte +5
Recent years have witnessed the availability of richer and richer datasets in a variety of domains, where signals often have a multi-modal nature, blending temporal, relational and…
Using a Bayesian approach to reconstruct graph statistics after edge sampling
Naomi A. Arnold, Raul J. Mondragon, Richard G. Clegg
Often, due to prohibitively large size or to limits to data collecting APIs, it is not possible to work with a complete network dataset and sampling is required. A type of sampling…
Moving with the Times: Investigating the Alt-Right Network Gab with Temporal Interaction Graphs
Naomi A. Arnold, Benjamin A. Steer, Imane Hafnaoui +4
Gab is an online social network often associated with the alt-right political movement and users barred from other networks. It presents an interesting opportunity for research bec…
Likelihood-based approach to discriminate mixtures of network models that vary in time
Naomi A. Arnold, Raul J. Mondragon, Richard G. Clegg
Discriminating between competing explanatory models as to which is more likely responsible for the growth of a network is a problem of fundamental importance for network science. T…