Giulio Rossetti

Senior Researcher @IstiCnr (@kdd_lab) | Social Network Analysis Prof. @DI_Unipisa | #NetworkScience | #Python |

[Giulio Rossetti @GiulioRossetti]

What happens when a simulated user gets trashed in the replies?

In YSocial 4.0.0 he gets stressed, posts less, remembers who did it, and may even leave the platform.

Stress/reward, memory and opinion dynamics.

https://t.co/xuqrhRS7Zf #YSocial

[Aleksandar Tomasevic @atomasevic]

I wanted to build a completely open source, fast, free Zotero alternative with first-class agent support both in-app and via MCP.

Give Omabib a try! https://t.co/fH20AYKIlT

Bring your own cloud storage. Bring your own agent.

Early alpha version, macOS and Linux. Full @omarchy support, super-fast.

[Luca Pappalardo @lucpappalard]

📢🔥 Latest @NatureComms paper!
We show that navigation services have an unexpected collective effect: as adoption increases, they concentrate traffic onto fewer roads, reducing route diversity by up to 14%.
Paper: https://t.co/9XLwjnxBhU

[Aleksandar Tomasevic @atomasevic]

New paper out in @SciReports with @marija_mitrovic @AnaVranic3 and @SaskaAloric!

We examined the effect of user migration after Reddit bans on the receiving fringe platform.

We studied Voat across four Reddit bans (FatPeopleHate 2015, Pizzagate 2016, GreatAwakening 2018, The_Donald 2020), focusing on funny, gifs, gaming, pics, videos, technology communities.

Four interesting results.

1. "Funny" was the most toxic. /v/funny ran 1.81× its Reddit twin in mean toxicity score. Users arrive driven by hate-speech or conspiracy topics, but toxic language spills over into casual content.

2. Toxicity did not spike on a ban date. It rose steadily from ~0.12 in 2015 to above 0.24 by mid 2018, then plateaued. A stable toxic environment.

3. Cohort mixing: did newcomers and old users talk to each other? Mostly no. For years each group stayed in its own silo. The only real mixing came right after the GreatAwakening ban, then it re-segregated after The_Donald.

4. Of the newcomers, the toxic ones lasted. High-toxicity early arrivals had lower departure hazard in the early cohorts. The arrivals who actually embedded in the new environment were disproportionately toxic.

⚠️Moderation aimed at one platform radically transforms the platform that absorbs the banned users, through user adaptation and shifting norms in an increasingly toxic environment.

https://t.co/XpBJae3xBC

[Luca Pappalardo @lucpappalard]

How do we stop model collapse in AI autophagy?

In our ACM TIST paper, we show how perplexity-filtering mitigates model collapse by filtering out low-quality synthetic data.

📄 Paper here: https://t.co/1PkSgz3frU

@Dani_Gambit @DinoPedreschi @CNRsocial_ @Unipisa @scuolanormale

[Salvatore Citraro @dsalvaz]

How do we #learn #language? As a search on a graph, in which activation spreads from word to word, biased towards unexplored lexical categories. Check my new-preprint 👇

https://t.co/2CY1865u3n

[Aleksandar Tomasevic @atomasevic]

🤖👤 What happens when humans & AI agents spend a full month on a Reddit-like platform, chatting, debating, arguing & fighting hard over Eurovision, Euphoria & pop culture topics?

The answer depends strongly on the presence or absence of disclosure labels (🤖 vs 👤): whether users can easily identify AI accounts, and whether AI agents can identify humans.

The results surprised us, especially in how disclosure reshaped the boundary between human and AI interaction: who talks to whom, which social ties form, when conversations become toxic, and what humans and AI agents say when they argue with each other.

The first results from our experimental study will be presented tomorrow at the INSNA Sunbelt 2026 conference by Sara Major! #Sunbelt2026

Next week, I will also give a talk about this study in Pisa at @Cnr_Isti . Thank you @GiulioRossetti for the invitation!

https://t.co/bWlzNr3Hgz

[Alessia Galdeman (alessianetwork.bsky.social) @AlessiaGaldeman]

📣 Join us for the TENET satellite at @NetSciConf in Boston!
Following the enthusiasm for last year’s editions, we're bringing together researchers working on Temporal Networks!
✏️2 pages abstracts
📆 Submit by Feb 20, 2026
🔗 more info here: https://t.co/RNkcKMBuFV

[Giulio Rossetti @GiulioRossetti]

🚀 Big news! #YSocial v3.0.0 is out!

We just made #SocialMedia #Simulation truly accessible for everyone:

✅ Cross-platform support (Linux, Mac, Win)
✅ New One-Click Installer
✅ Guided Onboarding Tutorial

More info 👇
https://t.co/0iPC4LxEUL

@Cnr_Isti @SoBigData

[Luca Pappalardo @lucpappalard]

🚦 How diverse are your city’s routes?

Today at @IC2S2 (lightning talks), @g_cornacchia presents: “Route Diversification in Road Networks”.

We introduce DiverCity, a metric to quantify how traffic can spread across alternative routes.

#HumanMobility #Routing #ic2s2

[Luca Pappalardo @lucpappalard]

How do recommender systems shape our behavior?

📄 We review 144 studies across domains, from social media to GenAI.

🧭 With the EU Digital Services Act, data access is now possible. Our survey offers a guide to studying recommender-driven risks.

🔗 https://t.co/2KgxQzFpXj

[Salvatore Citraro @dsalvaz]

New pre-print! #SpreadPy, a Python implementation of #spreading #activation for both single-layer and #multiplex #networks

GitHub: https://t.co/tqKhU0ToaH
arXiv: https://t.co/D6llZIDJId

@GiulioRossetti @MassimoSt @HaimEdith @csqsiew
#kddlab #isticnr @SoBigData @UniTrentoDIPSCO

[ollama @ollama]

.@GoogleDeepMind is running a hackathon with a $10,000 Ollama prize.

The award is for the best project that utilizes and showcases the capabilities of Gemma 3n running on Ollama.

There is a total of $150,000 of prizes to be won!

Link 👇👇👇

[SoBigData @SoBigData]

Thanks to our speakers (till now) @MicNat_ @rtrasarti @GiulioRossetti @roberta_savella Mark Coté @JuanDuran_Philo @zollofab @m_starnini @janos_kertesz @paologerbaudo @dsalvaz

[Salvatore Citraro @dsalvaz]

👇

[Andrea Failla @AndreaFailla4]

Last week I presented our (@GiulioRossetti) open #Bluesky dataset @NetSciConf.
We release augmented, anonymized content and network data from 81% of users over a year.
The #dataset is available at https://t.co/hX4HKXH1jk
#networkscience #opendata #socialmedia #openscience