Salvatore Citraro
dsalvaz.bsky.social
Salvatore Citraro
@dsalvaz.bsky.social
Researcher at @IstiCnr
#ComplexNetworks | #SocialNetworkAnalysis | #NLP | #DataMining
Reposted by Salvatore Citraro
Our first speaker at #TENET is Salvatore Citraro, who explores how to estimate node-level temporal homophily to capture heterogeneous mixing patterns in temporal networks. How? He uses a multi scale path-aware measure!

#CCS2025
September 3, 2025 at 8:02 AM
Reposted by Salvatore Citraro
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.

🔗 arxiv.org/abs/2407.01630
July 18, 2025 at 8:10 AM
Reposted by Salvatore Citraro
Salvatore Citraro, Edith Haim, Alessandra Carini, Cynthia S. Q. Siew, Giulio Rossetti, Massimo Stella
SpreadPy: A Python tool for modelling spreading activation and superdiffusion in cognitive multiplex networks
https://arxiv.org/abs/2507.09628
July 15, 2025 at 8:43 AM
Reposted by Salvatore Citraro
Call for Papers! 📣 📜

Join us in unraveling the impact of social media on human behavior 💻🙋🤳 for the 2nd edition of The Social Media Sway Workshop!

📅 Submit your papers by July 1st, 2025 (AoE). #SocialMedia #SMS25 #ASONAM25 #CFP

sms-workshop.github.io.
The Social Media Sway | Home
The SMS International Workshop website.
sms-workshop.github.io
March 25, 2025 at 5:29 PM
Reposted by Salvatore Citraro
🚀 The TENET @ @netsciconf.bsky.social program is live!
Talks, posters & discussions all about temporal networks—don’t miss it!

🗓 Full program: sites.google.com/view/tenet-n...

#NetSci2025 #TENET #TemporalNetworks #ComplexSystems #NetworkScience
TENET@Netsci25
Temporal networks are powerful models for understanding dynamical systems where entities and interactions appear and vanish as time goes by. Unlike static networks, which simply provide a snapshot of ...
sites.google.com
March 25, 2025 at 3:07 PM
Reposted by Salvatore Citraro
📢 TENET@ @netsciconf.bsky.social (June 2) Speaker announcement:

🎤 @martonkarsai.bsky.social, Central European University, Austria
"Static representations of temporal networks and what they are good for"

📅 Submit your abstract by Feb 7 (info here: tinyurl.com/27ntstep)
#NetSci2025 #Tenet2025
February 3, 2025 at 1:14 PM
Our latest paper online (co-authored with @gmauro10.bsky.social and Emanuele Ferragina) explores emotional patterns in online behavior across 40 soccer fandoms during the 2023–24 Serie B and Lega Pro seasons.

Read more: link.springer.com/chapter/10.1...

More leagues and analyses coming soon :)
Burstiness in Emotions: A Case Study on Collective Affective Responses in Italian Soccer Fandoms
The bursty nature of emotions is rarely investigated outside cognitive and psychological studies. Therefore this work addresses a gap in the literature, investigating the phenomenon of emotional burst...
link.springer.com
January 28, 2025 at 9:29 AM
Reposted by Salvatore Citraro
A few months back we released #YSocial, a next-generation platform harnessing the power of LLM to create digital twins for social simulations.

ysocialtwin.github.io
1/n
Home | Y Social
Where the Digital World Comes to Life - What is Y Social? Y Social is a cutting-edge Digital Twin of...
ysocialtwin.github.io
November 16, 2024 at 1:11 PM
Reposted by Salvatore Citraro
Excited to share our new work on #MachineLearning!

We reimagine group evolution in temporal data with "archetypes" and "facets".
Check out the paper for more👇
link.springer.com/article/10.1...

W/ Rémy Cazabet, Giulio Rossetti & Salvatore Citraro
#netsci #clustering #academicsky #science
Describing group evolution in temporal data using multi-faceted events - Machine Learning
Groups—such as clusters of points or communities of nodes—are fundamental when addressing various data mining tasks. In temporal data, the predominant approach for characterizing group evolution has b...
link.springer.com
August 2, 2024 at 12:10 PM
Reposted by Salvatore Citraro
How do our minds remember words? The answer: layers like an onion! A review by @massimost.bsky.social, Salvatore Citraro, Giulio Rossetti, Daniel Marinazzo, Yoed Kenett, & Mike V., shows why multilayer networks are best for modeling the mental lexicon. bit.ly/465obnv #psynomPBR Post by Daniel Pfaff
Mental lexicon as layers like an onion
Have you ever had a moment where a word was on the tip of your tongue, but you couldn’t quite remember it? For a bit of fun, here are two questions that might generate this feeling for you: What is th...
bit.ly
July 17, 2024 at 4:18 PM