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

A. Galdeman, M. Zignani, C. Quadri, S. Gaito

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

C. T. Ba, M. Dileo, A. Galdeman, M. Zignani, S. Gaito

DISTRIBUTED LEDGER TECHNOLOGIES

Characterizing NFT markets through a multilayer network approach

A. Galdeman, L. La Cava, M. Zignani, A. Tagarelli, S. Gaito

BLOCKCHAIN: RESEARCH AND APPLICATIONS

Exploring Time-Ordered Triadic Closure in Online Social Networks

A. Galdeman, C. T. Ba, M. Zignani, S. Gaito

ACM TRANSACTIONS ON THE WEB

Graph evolution rules for node temporal behavior representation

A. Galdeman, M. Zignani, C. Quadri, S. Gaito

DS-LB 2024 : DS Late Breaking Contributions 2024

Graph evolution rules meet communities: assessing global and local patterns in the evolution of dynamic networks

A. Galdeman, M. Zignani, S. Gaito

BIG DATA MINING AND ANALYTICS

Formal Methods for Attack Detection in Autonomous Driving Systems: The FORESEEN Project

C. Bernardeschi, G. Lettieri, A. Vivani, A. Bechini, A. Vecchio, F. Rossi, C. Quadri, A. Galdeman, A. Fagiolini, S. Pedone, A. Santone, V. Nardone, F. Mercaldo, S. Correra, G. Varriano

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

A. Galdeman, M. Zignani, S. Gaito

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

C. T. Ba, A. Galdeman, M. Zignani, S. T. Gaito

GoodIT '22: Proceedings

Web3 Social Platforms: Modeling, Mining and Evolution

C. T. Ba, A. Galdeman, M. Dileo, C. Quadri, M. Zignani, S. Gaito

ITADATA 2022 : Italian Conference on Big Data and Data Science 2022