Salvatore Citraro
@dsalvaz.bsky.social
📤 56
📥 256
📝 4
Researcher at @IstiCnr
#ComplexNetworks
|
#SocialNetworkAnalysis
|
#NLP
|
#DataMining
reposted by
Salvatore Citraro
Complexity Cat 🐱
19 days ago
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
0
3
2
reposted by
Salvatore Citraro
Luca Pappalardo
2 months ago
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
1
3
3
reposted by
Salvatore Citraro
arxiv cs.CL
2 months ago
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
0
0
1
New pre-print!
#SpreadPy
, a Python implementation of spreading activation for both single-layer and multiplex networks. arXiv:
arxiv.org/abs/2507.09628
GitHub:
github.com/dsalvaz/Spre...
@massimost.bsky.social
@giuliorossetti.bsky.social
@et al.
#kddlab
#sobigdata
#isticnr
#dipsco
loading . . .
SpreadPy: A Python tool for modelling spreading activation and superdiffusion in cognitive multiplex networks
We introduce SpreadPy as a Python library for simulating spreading activation in cognitive single-layer and multiplex networks. Our tool is designed to perform numerical simulations testing structure-...
https://arxiv.org/abs/2507.09628
2 months ago
0
2
2
reposted by
Salvatore Citraro
Valentina Pansanella
6 months ago
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
.
loading . . .
The Social Media Sway | Home
The SMS International Workshop website.
https://sms-workshop.github.io/
0
6
3
reposted by
Salvatore Citraro
Alessia Galdeman
6 months ago
🚀 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
loading . . .
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 ...
https://sites.google.com/view/tenet-netsci/home
0
6
6
reposted by
Salvatore Citraro
Yasaman (Yas) Asgari
8 months ago
📢 Final keynote speaker for TENET
@netsciconf.bsky.social
(June 2)! 🎤 Petter Holme @AaltoUniversity, Finland 🗣️ Perspective on Temporal Network Science Still haven’t submitted your abstract? ⏳ Why are you hesitating? 📅 Deadline: Feb 14 🔗
tinyurl.com/27ntstep
#Tenet2025
#NetSci2025
0
5
4
reposted by
Salvatore Citraro
Alessia Galdeman
8 months ago
📢 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
0
8
7
reposted by
Salvatore Citraro
Yasaman (Yas) Asgari
8 months ago
We’re excited to announce the next keynote speaker at TENET satellite
@netsciconf.bsky.social
, Farimah Poursafaei (McGill University, Canada) 🗣 Deep Learning Practices in Temporal Networks 📅 Submit your abstract by Feb 7 👉
tinyurl.com/27ntstep
Stay tuned for more speakers! 🚀
#NetSci2025
#Tenet2025
0
6
7
reposted by
Salvatore Citraro
Yasaman (Yas) Asgari
8 months ago
📢 Speaker Alert for TENET@NetSci 2025 (June 2): Naoki Masuda, Prof. @ SUNY Buffalo, USA Talk: "Node-state dynamics view of temporal networks" 📅 Submit your abstract by Feb 7:
tinyurl.com/27ntstep
More updates are coming soon!
#NetSci2025
#Tenet25
0
6
4
Information Diffusion and Opinion Dynamics on Node-Attributed Graphs:
link.springer.com/chapter/10.1...
With
@vpansanella.bsky.social
and
@giuliorossetti.bsky.social
loading . . .
Structure-Attribute Similarity Interplay in Diffusion Dynamics on Social Networks
Social interactions are shaped by homophily, the tendency for individuals to connect with others who share similar attributes. Exploring this phenomenon is crucial for understanding a wide spectr...
https://link.springer.com/chapter/10.1007/978-3-031-78980-9_27
8 months ago
0
2
2
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 :)
loading . . .
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...
https://link.springer.com/chapter/10.1007/978-3-031-78541-2_4
8 months ago
0
3
2
reposted by
Salvatore Citraro
Giulio Rossetti
10 months ago
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
loading . . .
Home | Y Social
Where the Digital World Comes to Life - What is Y Social? Y Social is a cutting-edge Digital Twin of...
https://ysocialtwin.github.io
1
5
5
reposted by
Salvatore Citraro
Andrea Failla
about 1 year ago
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
loading . . .
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...
https://link.springer.com/article/10.1007/s10994-024-06600-4
0
5
1
reposted by
Salvatore Citraro
Psychonomic Society
about 1 year ago
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
loading . . .
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...
https://bit.ly/465obnv
0
4
1
you reached the end!!
feeds!
log in