277 citations · 806 across the 32 of their papers we have counts for
34 papers
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…
Measuring Equality and Hierarchical Mobility on Abstract Complex Networks
Matthew Russell Barnes, Vincenzo Nicosia, Richard G. Clegg
The centrality of a node within a network, however it is measured, is a vital proxy for the importance or influence of that node, and the differences in node centrality generate hi…
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…
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro +1
Motion sensors embedded in wearable and mobile devices allow for dynamic selection of sensor streams and sampling rates, enabling several applications, such as power management and…
Internet Traffic Volumes Are Not Gaussian -- They Are Log-Normal: An 18-Year Longitudinal Study With Implications for Modelling and Prediction (Complete Version)
Mohammed Alasmar, Richard Clegg, Nickolay Zakhleniuk +1
Getting good statistical models of traffic on network links is a well-known, often-studied problem. A lot of attention has been given to correlation patterns and flow duration. The…