Francisco A. Rodrigues Website

Francisco Rodrigues

Complex Systems and Data Science | University of São Paulo


News

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
EPL publishes original, high-quality Letters in all areas of physics. pic.twitter.com/AKD3SFiJre

— Francisco Rodrigues (@FranciscoICMC) April 8, 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

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:
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.

— Francisco Rodrigues (@FranciscoICMC) November 20, 2021

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.
With @LdaFCosta, Pedro Ramos and Francisco Louzada.https://t.co/GU5o995WZc pic.twitter.com/8Fk77pym7x

— Francisco Rodrigues (@FranciscoICMC) July 28, 2021

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.
"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

— Francisco Rodrigues (@FranciscoICMC) February 13, 2021



Our new pre-print on @arxiv: Sampling with censored data: a practical guidehttps://t.co/oTfxfciKFw
We describe how to simulate different sampling strategies in survival analysis. #Statistics #Survivalanalysis #Datasciece pic.twitter.com/ixyysq2JMa

— Francisco Rodrigues (@FranciscoICMC) December 2, 2020


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
We consider random matrix theory measures to characterize the organization of random geometric graphs. pic.twitter.com/lBNDunQtki

— Francisco Rodrigues (@FranciscoICMC) October 16, 2020

Our new paper on @arxiv_org is out: Discovering causal factors of drought in Ethiopiahttps://t.co/JxRcJWdDIm
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

— Francisco Rodrigues (@FranciscoICMC) September 20, 2020






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:
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

— Francisco Rodrigues (@FranciscoICMC) June 4, 2020

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
with @thomas_peron @LdaFCosta @GuiFdeArruda #NeuralNetworks pic.twitter.com/VRbL5pkA3x

— Francisco Rodrigues (@FranciscoICMC) May 15, 2020

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"
Thanks @cosnet_bifi @thomas_peron and @erogludnz for this great work. #Complexity #Sync https://t.co/eMTlABvsdU pic.twitter.com/r9Z7h5gTMO

— Francisco Rodrigues (@FranciscoICMC) March 4, 2020



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



  • My interview about the Coronavirus at "Jornal da USP".



  • Professor Yamir Moreno, from University of Zaragoza, visited us in the last week of November to discuss current and new projects.
  • Complexity, the science of the 21st century
    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

    — Francisco Rodrigues (@FranciscoICMC) November 28, 2019

    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

  • Our research about ecological networks covered by "Jornal da USP".

  • 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 research about ecological networks, published in Nature Ecology, was covered by "Folha de São Paulo", the main Brazilian newspaper.

  • Our new paper in Naturel Ecology @NatureEcoEvo is out:https://t.co/qC7FHm9vBI
    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

    — Francisco Rodrigues (@FranciscoICMC) October 14, 2019

       
  • I won the best teacher award this year (2019).Thanks to the Computer Science students.


  • Our research about epidemic spreading with awareness, published in Physical Review E, was covered by Globo.com.

  • Our new paper in @PhysRevE. We systematically
    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

    — Francisco Rodrigues (@FranciscoICMC) October 8, 2019

    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
    A machine learning approach to predicting dynamical observables from network structure#complexity #DataScience #ML https://t.co/2VACAhEni2

    — Francisco Rodrigues (@FranciscoICMC) October 2, 2019

    Our new paper on PRE is online: Epidemic spreading with awareness and different timescales in multiplex networks https://t.co/dvoev6aY1r
    We verify that the velocity characterizing the diffusion of information awareness greatly influences the disease prevalence. @cosnet_bifi pic.twitter.com/kezO6xl9iA

    — Francisco Rodrigues (@FranciscoICMC) September 24, 2019

    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