Dr Lucas Lacasa
EPSRC Early Career Fellow & Senior Lecturer in Applied Mathematics
Email: l.lacasa@qmul.ac.ukTelephone: +44 (0)20 7882 7045Room Number: Queens’ Building, Room: E302Website: http://www.maths.qmul.ac.uk/~lacasa/main.htmlOffice Hours: I'm not currently running office hours, but I can occasionally meet so drop me an email.
Profile
Dr.Lucas Lacasa is currently an EPSRC Early Career Fellow and a Senior Lecturer in Applied Mathematics. He joined QMUL as a Lecturer in 2013, and prior to that he was Assistant Professor at Technical University of Madrid. He has been an invited researcher in several universities including University of Oxford and UCLA.
His research field is Complex Systems, where he applies methods from Dynamical Systems, Statistical Physics and Network Science to explore the onset of collective phenomena in different systems. He is particularly interested in developing tools at the interface between Time Series Analysis and Network Science, a project for which he has been awarded a 3 year EPSRC Early Career Fellowship starting in 2017.
Research
Research Interests:
General interest in complex systems.
Interdisciplinary applications of statistical physics and nonlinear dynamics.
Network science.
Nonlinear and graph-theoretical time series analysis.
Collective behaviour in multicomponent systems.
Examples of research funding:
EPSRC Early Career Fellowship (2017-2020) | 100% FTE
Publications
Selected publications:
- Multiplex decomposition of non-Markovian dynamics and the hidden layer reconstruction problem
Lucas Lacasa, Inés Pérez-Mariño, Joaquín Miguez, Vincenzo Nicosia, Edgar Roldan, Ana Lisica, Stephan W. Grill and Jesús Gómez-Gardeñes
Physical Review X 8, 031038 (2018) - The dynamics of norm change in the cultural evolution of language
Roberta Amato, Lucas Lacasa, Albert Diaz-Guilera, Andrea Baronchelli
PNAS 115, 33 (2018) - Visibility graphs and symbolic dynamics
Lucas Lacasa, Wolfram Just
Physica D 374, 35-44 (2018) - On the thermodynamic origin of metabolic scaling
Fernando Ballesteros, Vicent Martinez, Bartolo Luque, Lucas Lacasa, Enric Valor and Andres Moya
Scientific Reports 8, 1448 (2018) - Scaling and universality in the human voice
Jordi Luque, Bartolo Luque and Lucas Lacasa
Journal of the Royal Society Interface 12, 20141344 (2015) - On the degree distribution of horizontal visibility graphs associated to Markov processes and dynamical systems: diagrammatic and variational approaches
Lucas Lacasa
Nonlinearity 27, 2063-2093 (2014)
- Correlation dimension of complex networks
Lucas Lacasa, Jesús Gómez-Gardeñes
Physical Review Letters 110, 168703 (2013) - Number theoretic example of scale-free topology inducing self-organized criticality
Bartolo Luque, Octavio Miramontes, Lucas Lacasa
Physical Review Letters 101, 158702 (2008) - From time series to complex networks: the visibility graph
Lucas Lacasa, Bartolo Luque, Fernando Ballesteros, Jordi Luque, Juan C. Nuño
PNAS 105, 13 (2008)
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(2019). Quantifying and predicting success in show business. Nat Commun.
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(2019). Visibility graphs for image processing IEEE Transactions on Pattern Analysis and Machine Intelligence.
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(2018). Newcomb-Benford law helps customs officers to detect fraud in international trade. Proc Natl Acad Sci U S A.
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(2018). Election Forensics: Quantitative methods for electoral fraud detection. Forensic Sci Int.
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(2018). The dynamics of norm change in the cultural evolution of language. Proc Natl Acad Sci U S A.
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(2018). Multiplex Decomposition of Non-Markovian Dynamics and the Hidden Layer Reconstruction Problem Physical Review X.
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(2018). Visibility graphs and symbolic dynamics Physica D.
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(2018). A combinatorial framework to quantify peak/pit asymmetries in complex dynamics Scientific Reports.
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(2018). On a Dynamical Approach to Some Prime Number Sequences Entropy.
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(2018). Bipartisanship Breakdown, Functional Networks, and Forensic Analysis in Spanish 2015 and 2016 National Elections COMPLEXITY.
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(2018). On the thermodynamic origin of metabolic scaling. Sci Rep.
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(2017). Visibility graphs for fMRI data: Multiplex temporal graphs and their modulations across resting-state networks. Netw Neurosci.
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(2017). Visibility graphs of random scalar fields and spatial data Physical Review E.
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(2017). Emergence of linguistic laws in human voice. Sci Rep.
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(2017). Canonical horizontal visibility graphs are uniquely determined by their degree sequence EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS.
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(2016). Emergence of collective intonation in the musical performance of crowds EPL (Europhysics Letters).
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(2016). Sequential motif profile of natural visibility graphs. Phys Rev E.
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(2016). Horizontal visibility graphs from integer sequences Journal of Physics A: Mathematical and Theoretical.
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(2016). Irreversibility of financial time series: A graph-theoretical approach PHYSICS LETTERS A.
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(2016). Sequential visibility-graph motifs Physical Review E.
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(2015). Network structure of multivariate time series. Sci Rep.
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(2015). Time reversibility from visibility graphs of nonstationary processes. Phys Rev E Stat Nonlin Soft Matter Phys.
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(2015). Scaling and universality in the human voice. J R Soc Interface.
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(2014). Analytical estimation of the correlation dimension of integer lattices. Chaos.
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(2014). On the degree distribution of horizontal visibility graphs associated with Markov processes and dynamical systems: diagrammatic and variational approaches NONLINEARITY.
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(2014). Horizontal Visibility graphs generated by type-II intermittency Journal of Physics A: Mathematical and Theoretical.
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(2014). Speech earthquakes: scaling and universality in human voice. CoRR.
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(2013). Phase transitions in number theory: from the birthday problem to Sidon sets. Phys Rev E Stat Nonlin Soft Matter Phys.
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(2013). Horizontal visibility graphs generated by type-I intermittency. Phys Rev E Stat Nonlin Soft Matter Phys.
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(2013). Correlation dimension of complex networks. Phys Rev Lett.
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(2012). Feigenbaum graphs at the onset of chaos PHYSICS LETTERS A.
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(2012). DETECTING SERIES PERIODICITY WITH HORIZONTAL VISIBILITY GRAPHS INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS.
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(2012). Phase transition in the countdown problem. Phys Rev E Stat Nonlin Soft Matter Phys.
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(2012). Time series irreversibility: a visibility graph approach EUROPEAN PHYSICAL JOURNAL B.
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(2012). Approximate entropy of network parameters. Phys Rev E Stat Nonlin Soft Matter Phys.
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(2012). Analytical properties of horizontal visibility graphs in the Feigenbaum scenario. Chaos.
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(2012). Comment on the existence of a long range correlation in the geomagnetic disturbance storm time (Dst) index ASTROPHYSICS AND SPACE SCIENCE.
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(2011). Fast resolution of a single factor Heath-Jarrow-Morton model with stochastic volatility JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS.
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(2011). Feigenbaum graphs: a complex network perspective of chaos. PLoS One.
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(2010). Critical behavior of a Ginzburg-Landau model with additive quenched noise JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT.
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(2010). The Roundtable: An Abstract Model of Conversation Dynamics JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION.
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(2010). Description of stochastic and chaotic series using visibility graphs. Phys Rev E Stat Nonlin Soft Matter Phys.
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(2009). Horizontal visibility graphs: exact results for random time series. Phys Rev E Stat Nonlin Soft Matter Phys.
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(2009). Jamming transition in air transportation networks PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS.
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(2009). The first-digit frequencies of prime numbers and Riemann zeta zeros PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES.
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(2009). The visibility graph: A new method for estimating the Hurst exponent of fractional Brownian motion EPL.
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(2008). Number theoretic example of scale-free topology inducing self-organized criticality. Phys Rev Lett.
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(2008). From time series to complex networks: the visibility graph. Proc Natl Acad Sci U S A.
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(2008). Phase transition and computational complexity in a stochastic prime number generator NEW JOURNAL OF PHYSICS.
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(2007). Phase transition in a stochastic prime-number generator. Phys Rev E Stat Nonlin Soft Matter Phys.
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(2007). Self-overlap as a method of analysis in Ising models. Phys Rev E Stat Nonlin Soft Matter Phys.
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(2006). Bonabeau hierarchy models revisited PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS.
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(publicationYear). Bipartisanship Breakdown, Functional Networks, and Forensic Analysis in Spanish 2015 and 2016 National Elections. Complexity.