Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Renaud Lambiotte"'
Autor:
Naomi A. Arnold, Peijie Zhong, Cheick Tidiane Ba, Ben Steer, Raul Mondragon, Felix Cuadrado, Renaud Lambiotte, Richard G. Clegg
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract 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 ac
Externí odkaz:
https://doaj.org/article/c3654e44968840e4b43050cdc970170c
Autor:
Dingyi Shi, Fan Shang, Bingsheng Chen, Paul Expert, Linyuan Lü, H. Eugene Stanley, Renaud Lambiotte, Tim S. Evans, Ruiqi Li
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract Clusters or communities can provide a coarse-grained description of complex systems at multiple scales, but their detection remains challenging in practice. Community detection methods often define communities as dense subgraphs, or subgraph
Externí odkaz:
https://doaj.org/article/fbd43d5f3eb146e3b77f36ed70e37f7d
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract The abundance of data about social relationships allows the human behavior to be analyzed as any other natural phenomenon. Here we focus on balance theory, stating that social actors tend to avoid establishing cycles with an odd number of ne
Externí odkaz:
https://doaj.org/article/6584e523f2a840e7acbd0e42aedd4228
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-2 (2024)
Externí odkaz:
https://doaj.org/article/f7097b71212c4bf1b51347fcd24bd0ae
Autor:
Shazia’Ayn Babul, Renaud Lambiotte
Publikováno v:
Communications Physics, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract Signed network embedding methods allow for a low-dimensional representation of nodes and primarily focus on partitioning the graph into clusters, hence losing information on continuous node attributes. Here, we introduce a spectral embedding
Externí odkaz:
https://doaj.org/article/fcd8d1825d45434b988c661ad4b61d14
Publikováno v:
Journal of Cheminformatics, Vol 15, Iss 1, Pp 1-16 (2023)
Abstract Introduction and methodology Pairs of similar compounds that only differ by a small structural modification but exhibit a large difference in their binding affinity for a given target are known as activity cliffs (ACs). It has been hypothesi
Externí odkaz:
https://doaj.org/article/76f3ade697194633a3b30a6242ae3645
Autor:
Lukas Fesser, Sergio Serrano de Haro Iváñez, Karel Devriendt, Melanie Weber, Renaud Lambiotte
Publikováno v:
Journal of Physics: Complexity, Vol 5, Iss 3, p 035010 (2024)
The notion of curvature on graphs has recently gained traction in the networks community, with the Ollivier–Ricci curvature (ORC) in particular being used for several tasks in network analysis, such as community detection. In this work, we choose a
Externí odkaz:
https://doaj.org/article/a4ff47bbace1494b92cbc4d3e3da5e18
Autor:
Joana Cabral, Francesca Castaldo, Jakub Vohryzek, Vladimir Litvak, Christian Bick, Renaud Lambiotte, Karl Friston, Morten L. Kringelbach, Gustavo Deco
Publikováno v:
Communications Physics, Vol 5, Iss 1, Pp 1-13 (2022)
The mechanisms underlying transient brain rhythms and weekly stable synchronization of distant brain areas and their link with neural activity is still a matter of debate. Here, the authors use a brain network model to study spatio-temporal synchroni
Externí odkaz:
https://doaj.org/article/598354e2b62944bbb95aa30f0147b282
Publikováno v:
EPJ Data Science, Vol 11, Iss 1, Pp 1-24 (2022)
Abstract Online Social Networks (OSNs) offer new means for political communications that have quickly begun to play crucial roles in political campaigns, due to their pervasiveness and communication speed. However, the OSN environment is quite slippe
Externí odkaz:
https://doaj.org/article/6c9938bf6fc54a7482c97e14502c2f21
Publikováno v:
Entropy, Vol 25, Iss 11, p 1564 (2023)
Quantum networks have experienced rapid advancements in both theoretical and experimental domains over the last decade, making it increasingly important to understand their large-scale features from the viewpoint of statistical physics. This review p
Externí odkaz:
https://doaj.org/article/8e979cb3d1854334ae2e8fad03c0b261