Alessia Galdeman
Research Fellow
Network Science
Alessia Galdeman received her Ph.D. in computer science from University of Milan in 2024, and is currently a research fellow at University of Milan. Her current research interests include user behavior on social media, temporal networks, subgraph mining, and Web3 platforms. She serves as a member of technical program committees and organizing committees for several international conferences, while being a guest editor of a special issue in the Applied Network Science journal. She also collaborates with/coordinates different groups of young researchers that organize seminars and/or events at conferences. She has been involved in teaching and mentoring activities in the fields of social media mining, network analysis, and machine learning.
Recent publications
Representation of the temporal ego-networks through graph evolution rules: a tool for Web3 applications
ITADATA 2025 : Italian Conference on Big Data and Data Science 2025
Analyzing user migration in blockchain online social networks through network structure and discussion topics of communities on multilayer networks
DISTRIBUTED LEDGER TECHNOLOGIES
Characterizing NFT markets through a multilayer network approach
BLOCKCHAIN: RESEARCH AND APPLICATIONS
Exploring Time-Ordered Triadic Closure in Online Social Networks
ACM TRANSACTIONS ON THE WEB
Graph evolution rules for node temporal behavior representation
DS-LB 2024 : DS Late Breaking Contributions 2024
Graph evolution rules meet communities: assessing global and local patterns in the evolution of dynamic networks
BIG DATA MINING AND ANALYTICS
Formal Methods for Attack Detection in Autonomous Driving Systems: The FORESEEN Project
2024 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)
Disentangling the Growth of Blockchain-based Networks by Graph Evolution Rule Mining
2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)
Temporal analysis of cooperative behaviour in a blockchain for humanitarian aid during the COVID-19 pandemic
GoodIT '22: Proceedings
Web3 Social Platforms: Modeling, Mining and Evolution
ITADATA 2022 : Italian Conference on Big Data and Data Science 2022