Browsing School of Mathematical Sciences by Author "Lacasa, L"
Now showing items 21-36 of 36
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On the physical origin of linguistic laws and lognormality in speech
Torre, IG; Luque, B; Lacasa, L; Kello, CT; Hernandez-Fernandez, A (2019-08) -
On the spectral properties of Feigenbaum graphs
Flanagan, R; Lacasa, L; Nicosia, V (2020-01-17) -
On the thermodynamic origin of metabolic scaling
Ballesteros, FJ; Martinez, VJ; Luque, B; Lacasa, L; Valor, E; Moya, A (2018-01-23) -
A population-based controlled experiment assessing the epidemiological impact of digital contact tracing
Rodriguez, P; Grana, S; Alvarez-Leon, EE; Battaglini, M; Darias, FJ; Hernan, MA; Lopez, R; Llaneza, P; Martin, MC; Ramirez-Rubio, O (Nature Publishing Group, 2021-01-26)While Digital contact tracing (DCT) has been argued to be a valuable complement to manual tracing in the containment of COVID-19, no empirical evidence of its effectiveness is available to date. Here, we report the results ... -
Predicting success in the worldwide start-up network
Bonaventura, M; Ciotti, V; Panzarasa, P; Liverani, S; Lacasa, L; Latora, V (2020-01-15) -
Quantifying and predicting success in show business
Williams, OE; Lacasa, L; Latora, V (2019-06-04) -
Sequential motif profile of natural visibility graphs
Iacovacci, J; Lacasa, L (2016-11-14) -
Sequential visibility-graph motifs
Iacovacci, J; Lacasa, L (2016-04-14) -
Sequential visibility-graph motifs.
Iacovacci, J; Lacasa, L (American Physical Society, 2016-04-14)Visibility algorithms transform time series into graphs and encode dynamical information in their topology, paving the way for graph-theoretical time series analysis as well as building a bridge between nonlinear dynamics ... -
The shape of memory in temporal networks
Williams, OE; Lacasa, L; Millan, AP; Latora, V (2022) -
Shopper intent prediction from clickstream e-commerce data with minimal browsing information
Requena, B; Cassani, G; Tagliabue, J; Greco, C; Lacasa, L (Springer Nature, 2020-10-12)We address the problem of user intent prediction from clickstream data of an e-commerce website via two conceptually different approaches: a hand-crafted feature-based classification and a deep learning-based classification. ... -
Speech earthquakes: scaling and universality in human voice
Luque, J; Luque, B; Lacasa, LSpeech is a distinctive complex feature of human capabilities. In order to understand the physics underlying speech production, in this work we empirically analyse the statistics of large human speech datasets ranging ... -
Visibility graphs and symbolic dynamics
Lacasa, L; Just, W (2018-07-01) -
Visibility graphs for fMRI data: Multiplex temporal graphs and their modulations across resting-state networks.
Sannino, S; Stramaglia, S; Lacasa, L; Marinazzo, D (2017-10-01)Visibility algorithms are a family of methods that map time series into graphs, such that the tools of graph theory and network science can be used for the characterization of time series. This approach has proved a ... -
Visibility graphs for image processing.
Iacovacci, J; Lacasa, L (IEEE, 2019-01-09)The family of image visibility graphs (IVG/IHVG) have been recently introduced as simple algorithms by which scalar fields can be mapped into graphs. Here we explore the usefulness of such operator in the scenario of image ... -
Visibility graphs of random scalar fields and spatial data
Lacasa, L; Iacovacci, J (2017-07-21)