Alessia galdeman

Hello world

I’m Alessia,

a 3rd year Phd Student
in the Connets Lab at the University of Milan,
and I’m a network science enthusiast!

My research is focused on the field of complex networks, with a specific interest in understanding social and financial human networks through the lens of graph-based temporal patterns. I am developing a comprehensive framework that offers both theoretical models and applicative aspects to study the evolution of massive networks from a mesoscopic point of view. In general I’m passionate about data science, I especially enjoy to find the most effective way to visualize data and present my works. 

experience

March, 2023 - Present
March, 2023 - Present

Teaching Assistant

Weekly lab sessions for the course "Social Media Mining" at Department of Computer Science. The lab sessions focuses on network science topics, data analysis and visualization with Python.
October, 2022 - Present
October, 2022 - Present

Teaching Assistant

Weekly lab sessions for the course "Social Network Analysis" at Department of Economics, Management, and Quantitative Methods. The lab sessions focuses on graph modeling, data analysis and visualization with Python
October, 2021 - Present
October, 2021 - Present

Phd student

Phd Student at Connets Lab and my supervisor is prof. Sabrina Gaito. My research project involves a dual approach, where I simultaneously develop novel methodological frameworks while also exploring various temporal aspects of human behavior within complex networks, mainly in the web3 context. In general, the methodological side of my work aims at providing a comprehensive set of methods to analyse the evolution of a network from a mesoscopic point of view.
June, 2021
June, 2021

research fellow

Research Fellow for a project named VASARI about the smart enhancement of the artistic heritage of Italian cities. The role includes website management, social media mining activities, similarity graphs, and community detection tasks.
April, 2021
April, 2021

master degree in computer science

University of Milan | 110 cum laude | April 2020  

Thesis title: Graph-based customer segmentation through cashless payment data

publications

  • Clubs of wallets: a dive into the mesoscopic features of NFT transaction networks

    A. Galdeman,L. La Cava, M. Zignani, A. Tagarelli, and S. Gaito. Accepted at Complex Data Block workshop at CCS2022, 17-22 October - Palma de Mallorca, Spain

  • Disentangling the Growth of Blockchain-based Networks by Graph Evolution Rule Mining

    A. Galdeman, M. Zignani, S. Gaito. Accepted at 2022 IEEE International Conference on Data Science and Advanced Analytics (DSAA). IEEE. 13-16 October 2022 – Shenzhen, China

  • Web3 social platforms: modeling, mining and evolution

    C.T. Ba, A. Galdeman, M. Dileo, C. Quadri, M. Zignani, and S. Gaito. Accepted at 1ST ITALIAN CONFERENCE ON BIG DATA AND DATA SCIENCE. 20-21 September - Milan, Italy

  • The growth of Web3 techno-social systems through graph evolution rules

    A. Galdeman, M. Zignani, S. Gaito. Extended abstract accepted at Conference on Complex Systems (CCS). 17-21 Ottobre 2022. Palma de Mallorca, Spain.

  • Disentangling the Growth of Web3 Blockchain-based Networks by Graph Evolution Rules

    A. Galdeman, M.P. Chiatante, M. Zignani, S. Gaito. Extended abstract accepted at The 11th International Conference on Complex Networks and their Application. 8-10 November 2022. Palermo, Italy.

  • Temporal analysis of cooperative behaviour in a blockchain for humanitarian aid during the COVID-19 pandemic

    C. T. Ba, A. Galdeman, M. Zignani, S. Gaito. Accepted at: The 2022 ACM International Conference on Information Technology for Social Good (GoodIT 2022).

  • The Hub-bit: traits, role and influence of central nodes during a user migration

    A. Galdeman, C.T. Ba, A. Caputo, M. Zignani,S. Gaito. Extended Abstract at International Conference on Network Science (NetSciX) 2022

presentations

contacts

Email

alessia.galdeman@unimi.it

Linkedin

Alessia Galdeman

Twitter

Alessia Galdeman

Google Scholar

Alessia Galdeman