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Past Projects

Computational Social Science

Computational Epidemiology & Public Health

Data Mining & Machine Learning

Time Series Analysis

Current Projects

Applied Graph Theory / Network Science

Computational Epidemiology & Public Health

Computational Neuroscience

Computational Simulation and Optimisation

Talks

2023

18th Workshop on Algorithms and Models for Web Graphs

WAW 2023 Talk

JuliaCon 2023

JuliaCon 2023 Talk

2 sponsors have funded pitmonticone’s work.

@pitmonticone

It would be great if I had 10 sponsors.

@colltoaction
@taskswithcode

Featured work

  1. JuliaGraphs/MultilayerGraphs.jl

    A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.

    Julia 121
  2. InPhyT/COVID19-Italy-Integrated-Surveillance-Data

    COVID-19 integrated surveillance data provided by the Italian Institute of Health and processed via UnrollingAverages.jl to deconvolve the weekly moving averages.

    Julia 31
  3. InPhyT/UnrollingAverages.jl

    A Julia package to deconvolve ("unroll") moving averages of time series to get the original ones back.

    Julia 19
  4. xdevplatform/getting-started-with-the-twitter-api-v2-for-academic-research

    A course on getting started with the Twitter API v2 for academic research

    Python 589
  5. pitmonticone/SocialMediaEgoGraphAnalysis

    Ego Graph Analysis on Social Media.

    Jupyter Notebook 13
  6. pitmonticone/EnergySystemModelling

    Resources for the Energy System Modelling course by Tom Brown at Karlsruhe Institute of Technology (2020).

    Jupyter Notebook 47

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