Sabrina Gaito

Full Professor

Network Science

Sabrina Gaito is a Full Professor working on network science, complex systems, and the analysis of social and technological networks.

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

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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

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Characterizing NFT markets through a multilayer network approach

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

BLOCKCHAIN: RESEARCH AND APPLICATIONS

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Enhancing neural link predictors for temporal knowledge graphs with temporal regularisers

M. Dileo, P. Minervini, M. Zignani, S. Gaito

ESANN 2025 : Proceedings

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Evaluating explainability techniques on discrete-time graph neural networks

M. Dileo, M. Zignani, S. Gaito

TRANSACTIONS ON MACHINE LEARNING RESEARCH

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Exploring Time-Ordered Triadic Closure in Online Social Networks

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

ACM TRANSACTIONS ON THE WEB

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Graph evolution rules for node temporal behavior representation

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

DS-LB 2024 : DS Late Breaking Contributions 2024

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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

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Mining resources, the inconvenient truth of the “ecological” transition

J. Bourgoin, R. Interdonato, Q. Grislain, M. Zignani, S. Gaito

WORLD DEVELOPMENT PERSPECTIVES

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Characterizing growth in decentralized socio-economic networks through triadic closure-related network motifs

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

ONLINE SOCIAL NETWORKS AND MEDIA

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Cooperative behavior in blockchain-based complementary currency networks through time: The Sarafu case study

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

FUTURE GENERATION COMPUTER SYSTEMS

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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)

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Fork-based user migration in Blockchain Online Social Media

C. T. Ba, A. Michienzi, B. Guidi, M. Zignani, L. Ricci, S. Gaito

WebSci '22

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Link Prediction with Text in Online Social Networks: The Role of Textual Content on High-Resolution Temporal Data

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

Discovery Science

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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

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