Complex Systems and Data Science | University of São Paulo
Our paper introducing a novel centrality measure for multi-layer ecological networks has been featured on the cover of Methods in Ecology and Evolution. https://t.co/cK6Mq1Wmfb#complexity #networks #ecology #centrality
— Francisco Rodrigues (@FranciscoICMC) February 12, 2024
With Marco Mello and Nastaran Lotfi. pic.twitter.com/b6g6skTEBh
In our new paper on JPhys Complexity, we analyze how psychedelic substances affect the brain's automatic activity. @IOPPublishing https://t.co/1tCrLTqJj1#complexity #brain #DTM #corticalnetworks pic.twitter.com/STS7tu4SjE
— Francisco Rodrigues (@FranciscoICMC) January 10, 2024
Our new paper in the Journal of Statistical Mechanics (JSTAT) considers machine learning algorithms to accurately predict dynamic variables associated with the Q-voter model in complex networks. https://t.co/GTUCWrrhTT#Complexity #complexnetworks #machinelearning #datascience pic.twitter.com/w6wvd50wos
— Francisco Rodrigues (@FranciscoICMC) December 4, 2023
My new review on @arxiv: Machine learning in physics: a short guide (to appear on EPL).https://t.co/BknQFeesNq#machinelearning #datascience #analytics #physics #DataAnalytics #ArtificialInteligence #deeplearning pic.twitter.com/W3u70rnmo9
— Francisco Rodrigues (@FranciscoICMC) October 17, 2023
Our new paper in the Journal of Neural Engineering.https://t.co/SrMlcEGwHo pic.twitter.com/nsQLYlcDqS
— Francisco Rodrigues (@FranciscoICMC) September 28, 2023
Our new paper on Physica A addresses the efficiency-stability trade-off in the interbank (IB) market.https://t.co/UyYcsrdVIz#complexity #datascience #economy #PhysicaA pic.twitter.com/u5kG8FzSsU
— Francisco Rodrigues (@FranciscoICMC) September 21, 2023
Our new paper in the Journal of Physics: Complexity.
— Francisco Rodrigues (@FranciscoICMC) September 20, 2023
https://t.co/d355Gf2uBd
with @RubenUH pic.twitter.com/EA4kyuKfVE
In a new paper, we consider the quantile graphs (QGs) to map a time series into a network, demonstrating that the QG methodology can differentiate between younger and older patients, in terms of electrocardiogram (ECG) signals.https://t.co/7gPIuV7Tfq
— Francisco Rodrigues (@FranciscoICMC) September 14, 2023
Focus Issue: Complexity in Ecological Systems
— Francisco Rodrigues (@FranciscoICMC) August 18, 2023
The target deadline for submissions is 31 January 2024. There are no publication fees.https://t.co/95BCPXncAw#OpenAccess #complexity #networks #foodweb #ecology #environnement pic.twitter.com/Fj2N2Pb0tH
This editorial is the most widely read article in the Journal of Physics: Complexity now. We offer a comprehensive and multifaceted perspective on complexity science, which can inspire future research on complex systems. #complexity #networks #physics @IOPPublishing pic.twitter.com/psGzQrkRqB
— Francisco Rodrigues (@FranciscoICMC) September 4, 2023
The University of São Paulo is a premier institution of higher education in Latin America and has achieved a remarkable position of 85th in the global rankings.https://t.co/zvdXhY5bfd https://t.co/Tb6tx3D7C4
— Francisco Rodrigues (@FranciscoICMC) June 28, 2023
In our new paper, we consider two Brazilian credit networks: the bank-bank (interbank) network and the firm-bank bipartite network. Combining these two layers, we compute the systemic risk for different levels. #economics #complexity #networks pic.twitter.com/ILSN0vMkKG
— Francisco Rodrigues (@FranciscoICMC) August 8, 2023
In our new paper on Statistica Sinica, we show that the objective priors for a wide range of distributions follow a power law distribution or exhibit asymptotic power law behaviour. https://t.co/hnjto3YniT pic.twitter.com/zuwYByHawy
— Francisco Rodrigues (@FranciscoICMC) July 3, 2023
Our new paper on @SciReports is out. We develop a methodology that facilitates the automated diagnosis of autism spectrum disorder by leveraging functional brain networks.https://t.co/Y1vIJ5htDN#networks #complexity #fmri #Autism #autismdiagnosis
— Francisco Rodrigues (@FranciscoICMC) May 18, 2023
Ultrapassamos 10k seguidores, com mais de 350K visualizações. Curso completos de Estatística, Processos Estocásticos, Redes e Ciência de Dados. Aproveitem! https://t.co/omJXw11h1M#educacao #cienciadedados #estatistica #ensino #brasil #aprendizadodemaquina #simulacoes
— Francisco Rodrigues (@FranciscoICMC) June 13, 2023
— Francisco Rodrigues (@FranciscoICMC) April 16, 2023
— Francisco Rodrigues (@FranciscoICMC) April 16, 2023
Our new preprint: Group polarization, influence, and domination in online interaction networks: A case study of the 2022 Brazilian electionshttps://t.co/USt3Cu1i5o#complexnetworks #socialnetworks #complexity #twitter #datascience #eleicoes2022 pic.twitter.com/ojKVHfGH9M
— Francisco Rodrigues (@FranciscoICMC) March 30, 2023
Our new preprint: Estimating the impact of the COVID-19 pandemic on dengue in Brazil.https://t.co/V10nMZMbVO
— Francisco Rodrigues (@FranciscoICMC) February 15, 2023
We estimated the gap between expected and observed dengue cases using an interrupted time series design with a neural network and a structural Bayesian time series model. pic.twitter.com/BXD2uK5kXO
In our new paper in @epl_journal we investigate nestedness in financial systems using machine learning. https://t.co/yAql38MFgO#networks #complexity #economy #EPL pic.twitter.com/hH5Rk93v5s
— Francisco Rodrigues (@FranciscoICMC) February 11, 2023
Our new paper in the European Journal of Operational Research. We determined which network properties are associated with systemic risk in the Brazilian bank-bank (interbank) and the firm-bank bipartite networks.https://t.co/UKiLBYWlky
— Francisco Rodrigues (@FranciscoICMC) January 25, 2023
Editors of the Journal of Physics: Complexity (@IOPPublishing) discuss the importance of Complexity for Science: Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics https://t.co/aYfkOkGbQL#physics #complexity #research #NobelPrize pic.twitter.com/A7mHolAgVL
— Francisco Rodrigues (@FranciscoICMC) January 17, 2023
Our new paper on Chaos, Solitons & Fractals: A Markov chain for metapopulations of small sizes with attraction landscapehttps://t.co/A2MyDNzAY0
— Francisco Rodrigues (@FranciscoICMC) January 10, 2023
with @LdaFCosta @paulocv92 and E. Tokuda.
Our new paper on @PLOSONE. By using network modelling and machine learning, we can automatically detect changes in brain activity during ayahuasca consumption. https://t.co/KieXinHp6W
— Francisco Rodrigues (@FranciscoICMC) January 5, 2023
Our new work in the Journal of Neural Engineering:
— Francisco Rodrigues (@FranciscoICMC) November 22, 2022
Revisiting the involvement of tau in complex neural network remodeling: analysis of the extracellular neuronal activity in organotypic brain slice co-cultureshttps://t.co/eyxck9WQ1i
Minha palestra no IFSC-USP: A era da complexidadehttps://t.co/11vTMnBdVQ
— Francisco Rodrigues (@FranciscoICMC) November 19, 2022
Our new paper on @NatureComms is out. 👇👇👇 https://t.co/dXuajvjVEg
— Francisco Rodrigues (@FranciscoICMC) June 1, 2022
Our new work in the American Journal of Epidemiology @AmJEpi is out: Machine Learning Based Forecast of Dengue Fever in Brazilian Cities using Epidemiological and Meteorological Variables. https://t.co/jSiiFGpxsu
— Francisco Rodrigues (@FranciscoICMC) May 19, 2022
Our new work on @arxiv: Forecasting new diseases in low-data settings using transfer learning. We find that transfer learning offers the potential to improve predictions, even beyond a model based on data from the target disease.https://t.co/PyJ52z8tEN pic.twitter.com/6a9v6KJCBh
— Francisco Rodrigues (@FranciscoICMC) April 12, 2022
I am glad to announce I have just started as a new co-editor of Europhysics Letters (EPL). https://t.co/rU5e1rcvEd
— Francisco Rodrigues (@FranciscoICMC) April 8, 2022
EPL publishes original, high-quality Letters in all areas of physics. pic.twitter.com/AKD3SFiJre
Our new work on @arxiv: Forecasting new diseases in low-data settings using transfer learning. We find that transfer learning offers the potential to improve predictions, even beyond a model based on data from the target disease.https://t.co/PyJ52z8tEN pic.twitter.com/6a9v6KJCBh
— Francisco Rodrigues (@FranciscoICMC) April 12, 2022
Our new paper is out in the Journal of Physics:Complexity. The application of deep neural networks on data from brain connections is a very promising method for the diagnosis of neurological disorders.https://t.co/6MI9AYV1Zd#networks #brain #complexity #datascience pic.twitter.com/jigz2vscCT
— Francisco Rodrigues (@FranciscoICMC) March 22, 2022
Our new paper on @arxiv. We show that causal emergence information is necessarily contained on conditional mutual information and connect this result with the intrinsic violation of faithfulness. https://t.co/5ourFFHfnp pic.twitter.com/vmPMiOrLG7
— Francisco Rodrigues (@FranciscoICMC) March 22, 2022
In our new paper is out at Ecology, we provide the most extensive dataset on bat–plant interactions in the Neotropics, in terms of geographic and taxonomic properties.https://t.co/KnTWftieoU
— Francisco Rodrigues (@FranciscoICMC) January 26, 2022
Our new paper on Jornal of Complex Networks is out: Risk-dependent centrality in the Brazilian stock markethttps://t.co/EqiMuZiGXY
— Francisco Rodrigues (@FranciscoICMC) January 20, 2022
Our new paper on Chaos, Soliton and Fractals is out:
— Francisco Rodrigues (@FranciscoICMC) November 20, 2021
The drivers of systemic risk in financial networks: a data-driven machine learning analysishttps://t.co/KHe3mhNOYo
The paper is open access for the next 50 days.
Our new paper on Arxiv is out. We show the importance of brain cortical connections to perform the automatic diagnosis of Alzheimer's disease and schizophrenia. https://t.co/JeSJ37ob1H
— Francisco Rodrigues (@FranciscoICMC) October 15, 2021
I have just joined the editorial board of the Journal of Computational Science – Elsevier. The impact factor is 4.0. Papers on complexity are welcome. https://t.co/rH6nagi0tX pic.twitter.com/zhwVDyX5I8
— Francisco Rodrigues (@FranciscoICMC) July 30, 2021
Our paper on the Roman Empire is out on Royal Society Open Science @RSocPublishing: Power laws in the Roman Empire: a survival analysis.
— Francisco Rodrigues (@FranciscoICMC) July 28, 2021
With @LdaFCosta, Pedro Ramos and Francisco Louzada.https://t.co/GU5o995WZc pic.twitter.com/8Fk77pym7x
In our new paper, we analyze the effect of El Niño and La Niña episodes or strong volcanic eruptions on climate worldwide. This is an application of complex networks and data science to understand climate variability. With @thomas_peron.https://t.co/Sfv9pOyZ86 pic.twitter.com/egI5NTqsQM
— Francisco Rodrigues (@FranciscoICMC) August 17, 2021
Our new paper on Physical Review Research.
— Francisco Rodrigues (@FranciscoICMC) February 13, 2021
"Role of time scale in the spreading of asymmetrically interacting diseases"https://t.co/gFbyGenqeP
With my PhD student @paulocv92 and my friend @cosnet_bifi.#Epidemics #Networks #Complexity https://t.co/t7O5yUqnBA
Our new pre-print on @arxiv: Sampling with censored data: a practical guidehttps://t.co/oTfxfciKFw
— Francisco Rodrigues (@FranciscoICMC) December 2, 2020
We describe how to simulate different sampling strategies in survival analysis. #Statistics #Survivalanalysis #Datasciece pic.twitter.com/ixyysq2JMa
Our new paper on the Journal of Statistical Mechanics has just been published: Universality of eigenvector delocalization and the nature of the SIS phase transition in multiplex networkshttps://t.co/dlbAkMLnys#Complexity #Epidemics #Networks https://t.co/iNbCDIdOuX
— Francisco Rodrigues (@FranciscoICMC) October 30, 2020
Our new paper on @PhysRevE is out: Topological versus spectral properties of random geometric graphshttps://t.co/6RAKiN7p1k
— Francisco Rodrigues (@FranciscoICMC) October 16, 2020
We consider random matrix theory measures to characterize the organization of random geometric graphs. pic.twitter.com/lBNDunQtki
Our new paper on @arxiv_org is out: Discovering causal factors of drought in Ethiopiahttps://t.co/JxRcJWdDIm
— Francisco Rodrigues (@FranciscoICMC) September 20, 2020
We employ causal inference to predict causal links between climate variables in order to improve the drought forecasting. @WarwickComplex @icmc_usp pic.twitter.com/VX8zeMAk2E
Our new paper on @PhysRevE is out. Great collaboration work with @silviojrufv. https://t.co/evQn1kENLe
— Francisco Rodrigues (@FranciscoICMC) July 24, 2020
Our new paper on @arxiv_org : We study random geographic graphs by using concepts of random matrix theory. With @eestradalab, Antonio Bermúdez and collaborators. #networks https://t.co/V5bzDV6QkR pic.twitter.com/3cymq0rS88
— Francisco Rodrigues (@FranciscoICMC) July 8, 2020
In our new paper on @arxiv_org, we study two SIS-like models for interacting diseases when they are in an asymmetrically interacting regime over homogeneously mixed populations. With my friend @cosnet_bifi and my PhD student @paulocv92 . https://t.co/5in8Le9H0F#Epidemics pic.twitter.com/GFnp6QxrQp
— Francisco Rodrigues (@FranciscoICMC) July 7, 2020
Our new paper about epidemics in networks is out on @arxiv_org @arXiv_BR. First paper with @silviojrufv. #epidemics #networks https://t.co/cN0N7vO1uq
— Francisco Rodrigues (@FranciscoICMC) June 6, 2020
Our new paper on @Arxiv is out:
— Francisco Rodrigues (@FranciscoICMC) June 4, 2020
Disease and information spreading at different speeds in multiplex networks. (arXiv:2006.01965v1 [physics.soc-ph]) https://t.co/WLHkN0AFhM
with @cosnet_bifi @paulocv92 #Complexity #Networks pic.twitter.com/kw5uORhtt6
Our new paper on arxiv is out: Universality of eigenvector delocalization and the nature of the SIS phase transition in multiplex networks. Thanks @cosnet_bifi @GuiFdeArruda and A. Bermudez. #Networks #Complexity https://t.co/Mw9ybh9Zsd
— Francisco Rodrigues (@FranciscoICMC) May 19, 2020
Our new paper on Neural Computation is out: Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data From Bicuculline-Induced Epileptiform Activityhttps://t.co/gnwIVfVqqH
— Francisco Rodrigues (@FranciscoICMC) May 15, 2020
with @thomas_peron @LdaFCosta @GuiFdeArruda #NeuralNetworks pic.twitter.com/VRbL5pkA3x
Our new review: "Complex systems: Features, similarity and connectivity" is out in Physics Reports. We discuss how complex networks can be thought as a composition of maps between features, similarity, and network connectivity. https://t.co/ExojXlty1N
— Francisco Rodrigues (@FranciscoICMC) April 18, 2020
Collective dynamics of random Janus oscillator networks, Thomas Peron (@thomas_peron), Deniz Eroglu (@erogludnz), Francisco A. Rodrigues (@FranciscoICMC), and Yamir Moreno (@cosnet_bifi) #networks #coupledoscillators #complexsystems https://t.co/NNKgGwcyiJ pic.twitter.com/6VvWCUdHx5
— Physical Review Research (@PhysRevResearch) March 5, 2020
Our new paper on @PhysRevResearch is out. "Collective dynamics of random Janus oscillator networks"
— Francisco Rodrigues (@FranciscoICMC) March 4, 2020
Thanks @cosnet_bifi @thomas_peron and @erogludnz for this great work. #Complexity #Sync https://t.co/eMTlABvsdU pic.twitter.com/r9Z7h5gTMO
Today, Débora Princepe, from Unicamp, visited us to talk about theoretical models to address the coevolution of mytocondria. Very great talk with interesting results. Work with @MarcusdeAguiar. pic.twitter.com/YM1QUZ32IM
— Francisco Rodrigues (@FranciscoICMC) February 22, 2020
Our new paper in New Journal of Physics. https://t.co/5AoA64WDHj
— Francisco Rodrigues (@FranciscoICMC) January 8, 2020
We show that node/link attributes are fundamental for accurate modelling of complex networks. Thanks to@lgaalves @cosnet_bifi @AmaralLab @SrAleta #Complexity #Networks #Science #DataScience https://t.co/BB4MoB9hA0
Complexity, the science of the 21st century
— Francisco Rodrigues (@FranciscoICMC) November 28, 2019
Great talk by my friend Yamir Moreno @cosnet_bifi today at @icmc_usp. Students enjoyed a lot! Thank you Yamir for visiting us. Looking forward for our next meeting. Have a nice trip back to Zaragoza! pic.twitter.com/sCekgPXLBt
With @FranciscoICMC @thomas_peron @devmessias and Antonio Bermudes having lunch at lovely #SaoCarlos during the #Dincon19 Conference. Looking forward to strengthen our collaboration! pic.twitter.com/UuWHk2LMY8
— Yamir Moreno (@cosnet_bifi) November 25, 2019
In our new paper in Communications in Nonlinear Science and Numerical Simulation, we show that community structure plays a fundamental role on the rumour spreading dynamics. with @LdaFCosta and @didiervega https://t.co/vRWLxWhAfV #SocialNetworks #complexity pic.twitter.com/LRHSJKAyfX
— Francisco Rodrigues (@FranciscoICMC) November 8, 2019
Our new paper in Naturel Ecology @NatureEcoEvo is out:https://t.co/qC7FHm9vBI
— Francisco Rodrigues (@FranciscoICMC) October 14, 2019
We consider a multilayer network formed by frugivory and nectarivory interactions to understand the structure and function of ecological networks. with @marcoarmello #Complexity #ecology pic.twitter.com/4pjmtUyj4y
Our new paper in @PhysRevE. We systematically
— Francisco Rodrigues (@FranciscoICMC) October 8, 2019
compare predictions from the heterogeneous degree mean-field and the quenched mean-field
approaches to extensive numerical simulations on large networks. with @cosnet_bifi @thomas_peron @angelicasmata @devmessias #Complexity #Physics https://t.co/UbvmarXUqU
Is Machine Learning a useful too to understand the structure and dynamics of Complex Networks? See our new paper on @Arxiv: with @thomas_peron and @cosnet_bifi
— Francisco Rodrigues (@FranciscoICMC) October 2, 2019
A machine learning approach to predicting dynamical observables from network structure#complexity #DataScience #ML https://t.co/2VACAhEni2
Our new paper on PRE is online: Epidemic spreading with awareness and different timescales in multiplex networks https://t.co/dvoev6aY1r …
— Francisco Rodrigues (@FranciscoICMC) September 24, 2019
We verify that the velocity characterizing the diffusion of information awareness greatly influences the disease prevalence. @cosnet_bifi pic.twitter.com/kezO6xl9iA
Janus oscillator in networks. Our new paper on @arxiv_org #Physics #Complexity #Science #Nonlineardynamics with @cosnet_bifi @thomas_peron @erogludnz https://t.co/63kwW5mopw
— Francisco Rodrigues (@FranciscoICMC) September 12, 2019
Our new paper on PRE @APSphysics is out. #Physics #Complexity #Networks https://t.co/0i8LQRyqkA
— Francisco Rodrigues (@FranciscoICMC) July 29, 2019
Old, but still important. This was the first paper to use machine learning to study networks. In this review, we included the most important measures for network characterization at that time. In Google Scholar, we have reached a milestone: more than 2,000 citations! #networks https://t.co/NoqptuiDVe
— Francisco Rodrigues (@FranciscoICMC) June 30, 2019