Zobrazeno 1 - 10
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pro vyhledávání: '"Clegg, Richard G."'
In the dynamic landscape of the Web, we are witnessing the emergence of the Web3 paradigm, which dictates that platforms should rely on blockchain technology and cryptocurrencies to sustain themselves and their profitability. Cryptocurrencies are cha
Externí odkaz:
http://arxiv.org/abs/2407.10614
Autor:
Arnold, Naomi A., Zhong, Peijie, Ba, Cheick Tidiane, Steer, Ben, Mondragon, Raul, Cuadrado, Felix, Lambiotte, Renaud, Clegg, Richard G.
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 anomaly detection, anti-money laundering, pattern mining and activity cl
Externí odkaz:
http://arxiv.org/abs/2402.09272
Autor:
Barnes, Matthew Russell, Karan, Mladen, McQuistin, Stephen, Perkins, Colin, Tyson, Gareth, Purver, Matthew, Castro, Ignacio, Clegg, Richard G.
An important concept in organisational behaviour is how hierarchy affects the voice of individuals, whereby members of a given organisation exhibit differing power relations based on their hierarchical position. Although there have been prior studies
Externí odkaz:
http://arxiv.org/abs/2311.13442
Autor:
Steer, Ben, Arnold, Naomi, Ba, Cheick Tidiane, Lambiotte, Renaud, Yousaf, Haaroon, Jeub, Lucas, Murariu, Fabian, Kapoor, Shivam, Rico, Pedro, Chan, Rachel, Chan, Louis, Alford, James, Clegg, Richard G., Cuadrado, Felix, Barnes, Matthew Russell, Zhong, Peijie, Biyong, John N. Pougué, Alnaimi, Alhamza
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 structure and evolution; and an extensible GraphQL server for deployme
Externí odkaz:
http://arxiv.org/abs/2306.16309
Autor:
Yousaf, Haaroon, Arnold, Naomi A., Lambiotte, Renaud, LaRock, Timothy, Clegg, Richard G., Zhong, Peijie, Alnaimi, Alhamza, Steer, Ben
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 semantic information. Within this context, several works have shown t
Externí odkaz:
http://arxiv.org/abs/2303.11181
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 which is consistent with Twitter API restrictions is uniform edge sam
Externí odkaz:
http://arxiv.org/abs/2207.11793
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 hierarchies and inequalities. If the network is evolving in time, the in
Externí odkaz:
http://arxiv.org/abs/2205.14091
Autor:
Arnold, Naomi A., Steer, Benjamin A., Hafnaoui, Imane, G., Hugo A. Parada, Mondragon, Raul J., Cuadrado, Felix, Clegg, Richard G.
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 because near-complete data is available from day one of the network's cre
Externí odkaz:
http://arxiv.org/abs/2009.08322
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 data-sharing control. While deep neural networks (DNNs) achieve compe
Externí odkaz:
http://arxiv.org/abs/2008.02397
Sensitive inferences and user re-identification are major threats to privacy when raw sensor data from wearable or portable devices are shared with cloud-assisted applications. To mitigate these threats, we propose mechanisms to transform sensor data
Externí odkaz:
http://arxiv.org/abs/1911.05996