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AWESOME: Analysis framework for WEb3 SOcial MEdia

Project
AWESOME: Analysis framework for WEb3 SOcial MEdia
  • Overview
  • Research Areas
  • Publications

Overview

Contributors

GAITO SABRINA TIZIANA   Scientific Manager  

Departments involved

Dipartimento di Informatica Giovanni Degli Antoni   Principale  

Type

PRIN2022 - PRIN bando 2022

Funder

MINISTERO DELL'UNIVERSITA' E DELLA RICERCA
External Organization Funding Organization

Date/time interval

September 28, 2023 - February 28, 2026

Project duration

29 months

Research Areas

Concepts


PE6_10 - Web and information systems, data management systems, information retrieval and digital libraries, data fusion - (2022)

Publications

Outputs (6)

Characterizing NFT markets through a multilayer network approach 
BLOCKCHAIN: RESEARCH AND APPLICATIONS
ELSEVIER
2025
Academic Article
Open Access
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Evaluating explainability techniques on discrete-time graph neural networks 
TRANSACTIONS ON MACHINE LEARNING RESEARCH
OPENREVIEW.NET
2025
Academic Article
Open Access
Exploring Time-Ordered Triadic Closure in Online Social Networks 
ACM TRANSACTIONS ON THE WEB
ASSOCIATION FOR COMPUTING MACHINERY (ACM)
2025
Academic Article
Open Access
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Graph evolution rules meet communities: assessing global and local patterns in the evolution of dynamic networks 
BIG DATA MINING AND ANALYTICS
TSINGHUA UNIVERSITY PRESS
2025
Academic Article
Open Access
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MARA: A deep learning based framework for multilayer graph simplification 
NEUROCOMPUTING
ELSEVIER
2025
Academic Article
Open Access
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Discrete-time graph neural networks for transaction prediction in Web3 social platforms 
MACHINE LEARNING
SPRINGER
2024
Academic Article
Open Access
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