Simone Centellegher

🦋 @simonecent.bsky.social
Data Scientist & researcher at @MobS_FBK - @FBK_research

[Simone Centellegher @simonecent]

New one out👇👇👇

[Nicolò A. Girardini @nicogira95]

📢 New preprint out!

Mobility data are used to study human behavior, but biases in population representativeness can affect downstream analyses.

We introduce BePop, a framework to calibrate mobile phone GPS data not only demographically, but also behaviorally.

🧵👇

[NetScience @net_science]

Behavioral calibration of mobile-phone GPS data for population-representative analyses https://t.co/IGWM8PCzpB

[Gian Maria Campedelli @CampedelliGian]

📢⏰ Very happy to share a new article published in the Journal of Quantitative Criminology having as 1st author @AriadnaAlbors, brilliant PhD student co-advised w/@mtizzoni. Open access link: https://t.co/1djINZEghf. Congrats to Ariadna for her first publication! Some info ⬇️

[Nicolò A. Girardini @nicogira95]

🚀 Just out in Applied Network Science:

🧩 “Community aware temporal network generation”

Our Labelled Egocentric Temporal Neighborhood method generates surrogate temporal networks that reproduce realistic communities interactions 🕸️

📄 https://t.co/SbahgcdZnK

[LanD @LanD_FBK]

📢 Do you want to join our group? We opened **two** calls for a fully funded PhD. Details are in the image and at the following links.

Calls: https://t.co/9cQNmnLTsE
PhD Details: https://t.co/61OhXBrd6a

Deadline: August 22nd, 2025, hrs. 04:00 PM (CEST)

[Simone Centellegher @simonecent]

We introduce a real-time method to infer individual unemployment using GPS trajectories and survey data. By analyzing mobility patterns of ~1 million individuals before and after job loss we reveal a sustained contraction in exploration that deepens with time since job loss.

[Simone Centellegher @simonecent]

🚀Job loss disrupts individuals’ mobility and their exploratory patterns🚀
Thanks to a great collaboration with @denadai2, @marcotonin, @brulepri and @LucchiniLorenzo our latest study is finally out in iScience!

https://t.co/CZmx1asG2b

[NetScience @net_science]

Forecasting Seasonal Influenza Epidemics with Physics-Informed Neural Networks https://t.co/csPzKvOyNb

[NetScience @net_science]

We present Epydemix: open-source python package for all stages of epidemic modelling: from models' definition to their calibration via ABC methods. Website: https://t.co/xcTCl1XgeY. Paper: https://t.co/oWnRoGkPvm. High level summary: https://t.co/g8UZaIXLXy

[Andrea Baronchelli @a_baronca]

*Permanent* position in Applied Mathematics at City. We are - of course - particularly interested in profiles in Computational Social Science, Network Science, Data Science, and related fields. The application deadline is June 1st.

https://t.co/qbJlphoVqj

[Fondazione Bruno Kessler - FBK @FBK_research]

Prevedere i movimenti umani è cruciale ma l’IA fatica quando usciamo dalla routine
Una ricerca @FBK_research - @CNRsocial_ su @PNASNews propone algoritmo che unisce intelligenza individuale e collettiva per anticipare anche gli spostamenti “imprevedibili”

https://t.co/xBB8nIkA4x

[Simone Centellegher @simonecent]

@Giuseppe_Jurman Thanks Giuseppe!!

[Simone Centellegher @simonecent]

🎉 New paper out in PNAS! 👇👇👇

[Steve Azzolin @steveazzolin]

Faithfulness of GNN explanations isn’t one-size-fits-all🧢
Our last @iclr_conf paper breaks it down across:

1. Evaluation metrics
2. Model implementations
3. OOD generalisation

w: @AntonioLonga94 @looselycorrect @andrea_whatever

1/5

[Lorenzo Lucchini @LucchiniLorenzo]

Happy to see our work, "Socioeconomic disparities in mobility behavior during the COVID-19 pandemic in developing countries", out in EPJ Data Science "Data for the Wellbeing of Most Vulnerable".
https://t.co/QhO19RM6mL

🙏to the editors and the amazing team for the hard work!

[Morgan Frank @mrfrank5790]

New @NatureHumBehav paper tracks mobility to reveal surprisingly long-distance dependencies between businesses. These insights could improve policy to bolster neighborhood economies and help business owners see how closures elsewhere might impact them
@estebanmoro @takayabe_0505

[Lucila Álvarez-Žužek @lualvarezzuzek]

📣 New preprint out 🚨

"Predicting human cooperation: sensitizing drift-diffusion model to interaction and external stimuli" 👥

Co-authored with @L_Ferrarotti and in collab with @brulepri and @ricgallotti

Check it out on arXiv : https://t.co/02s6Y2GTkn

[Mátyás Vincze @vinczematyas_]

🎉 Our work "SMOSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks" has been accepted by AAAI 2025! #AAAI2025

paper: https://t.co/6nBahjMLmn
with @L_Ferrarotti, @brulepri, @gih82

🧵1/6

[Esteban Moro @estebanmoro]

We are hiring a postdoc at my group (SUNLab) @NUnetsi. Interested in working on multidisciplinary problems like segregation, health, or economic growth from the perspective of Social Urban Networks? Contact me if you are interested. Please share it! https://t.co/yIVu1eXKav

[Gian Maria Campedelli @CampedelliGian]

🚨🚨New wp alert! We use machine learning to predict mafia infiltration in local governments in 🇮🇹 + we study the impact of EU funds on infiltration risk.

Great econ-crim collab with @Giammacco and @mlemoglie 🔥///
Check thread below for an excellent overview ⬇️⬇️⬇️