277 citations · 806 across the 32 of their papers we have counts for
7 papers · 1 filter
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…
Simplification of networks via conservation of path diversity and minimisation of the search information
Hengda Yin, Richard. G. Clegg, Raul. J. Mondragon
Alternative paths in a network play an important role in its functionality as they can maintain the information flow under node/link failures. In this paper we explore the navigati…
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…