Hi all! 
​Welcome to my personal webpage!

My name is Matthieu Nadini and I am a Researcher in Data Science at the City, University of London and The Alan Turing Institute. I work with Profs. Andrea Baronchelli, Alex Teytelboym, and Angela Gallo in the EPSRC funded project COVID-19: Monitoring the effects of the pandemic on illicit online trade

Additionally, I am a research member of the COVID-19 infodemic taskforce and part of the ongoing effort to map the NFT revolution

My research achievements are summarized in Google Scholar​
Picture
Me while learning from the best

News

16 July 2021
Our article The COVID-19 infodemic does not affect vaccine acceptance is available as a preprint in the arxiv!!
1 June 2021
Our article Mapping the NFT revolution: market trends, trade networks and visual features is available as a preprint in the arxiv!!
17 February 2021
​I released a Python 3 pip package TemporalBackbone ! It is based on a methodology to detect the backbone in temporal networks. The methodology was first introduced in a prior work of mine Detecting network backbones against time variations in node properties and then deemed as appropriate for large networks in a following effort Reconstructing irreducible links in temporal networks: which tool to choose depends on the network 
11 February 2021
Our article Dark Web Marketplaces and COVID-19: The vaccines is available as a preprint in the arxiv!!

This project is receiving media attention: ITV News
21 January 2021
Our article Dark Web Marketplaces and COVID-19: before the vaccine is published in EPJ Data Science!!

This project has received extensive news coverage: Daily Mail, Ansa, BBC Newsday (Radio), and El Universal
11 November 2020
​Check out our new website, where we are constantly monitoring the effect of COVID-19 on illicit online trade!
10 November 2020
...and the open access version of my PhD thesis at NYU Tandon is now live!! 
26 September 2020
Our article Design and feasibility study of the mobile application StopTheSpread is published in Early Access version in IEEE Access!
Download and play with it!
- Google Play Store
​- Apple Store
22 September 2020
Our article A multi-agent model to study epidemic spreading and vaccination strategies in an urban-like environment is now published in the journal ​Applied Network Science! ​
11 June 2020
Another big news today! Starting from July, I will be a Postdoctoral Research Associate at the City, University of London and The Alan Turing Institute. My EPSRC funded project is: COVID-19: Monitoring the effects of the pandemic on illicit online trade
10 June 2020
Today I have successfully defended my PhD thesis: Analysis and inference in temporal networks, with application to epidemic spreading (online soon)
Please call me Dr. :) ​
29 May 2020
Our article Reconstructing irreducible links in temporal networks: which tool to choose depends on the network size is now published in the ​Journal of Physics: Complexity! ​
28 April 2020
Our extended abstract Detecting strong ties in temporal networks has been selected for oral presentation in the 6th International Conference on Computational Social Science!
I will talk about our recent findings:
- Detecting network backbones against time variations in node properties, and
- Reconstructing irreducible links in temporal networks: which tool to choose depends on the network
18 March 2020
Our article Empirical evidence of upward social comparison in a prisoner's dilemma game is now published in IEEE Access!
17 February 2020
Our educational game StopTheSpread, an official mobile application of New York University, is published also in the Apple Store!
Download and play with it!
- Google Play Store
​- Apple Store
24 July 2019
Our article Detecting network backbones against time variations in node properties is now published in Nonlinear Dynamics!
16 July 2019
Our article Does Winning or Losing Change Player's Engagement in Competitive Games? Experiments in Virtual Reality  is now available online in IEEE Transactions on Games!​
6 December 2018
Our article Epidemic spreading in temporal and adaptive networks with static backbone is now available online in IEEE Transactions on Network Science and Engineering!
5 February 2018
Our article Epidemic spreading in modular time-varying networks is now published in Scientific Reports!