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?

πŸ“„ 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.

πŸ”— 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! πŸ“£ πŸ“œ

Join us in unraveling the impact of social media on human behavior πŸ’»πŸ™‹πŸ€³ for the 2nd edition of The Social Media Sway Workshop!

πŸ“… 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
πŸš€ The TENET @ @netsciconf.bsky.social program is live!
Talks, posters & discussions all about temporal networksβ€”don’t miss it!

πŸ—“ 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
πŸ“’ 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"

πŸ“… 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 inΒ Emotions: A Case Study onΒ Collective Affective Responses inΒ 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
I would like to join, thanks!
November 21, 2024 at 1:40 PM
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 moreπŸ‘‡
link.springer.com/article/10.1...

W/ RΓ©my Cazabet, Giulio Rossetti & Salvatore Citraro
#netsci #clustering #academicsky #science
Describing group evolution in temporal data using multi-faceted events - Machine Learning
Groupsβ€”such as clusters of points or communities of nodesβ€”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