Zobrazeno 1 - 10
of 182
pro vyhledávání: '"Clegg, Richard"'
When we detect communities in temporal networks it is important to ask questions about how they change in time. Normalised Mutual Information (NMI) has been used to measure the similarity of communities when the nodes on a network do not change. We p
Externí odkaz:
http://arxiv.org/abs/2411.10632
Publikováno v:
IEEE Access, vol. 12, pp. 157540-157555, 2024
This survey uncovers the tension between AI techniques designed for energy saving in mobile networks and the energy demands those same techniques create. We compare modeling approaches that estimate power usage cost of current commercial terrestrial
Externí odkaz:
http://arxiv.org/abs/2411.02164
Recent sustainability drives place energy-consumption metrics in centre-stage for the design of future radio access networks (RAN). At the same time, optimising the trade-off between performance and system energy usage by machine-learning (ML) is an
Externí odkaz:
http://arxiv.org/abs/2411.02135
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