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Hello World

I'm Alessia,

a Computer Science PhD student in Milan,

passionate about network analysis and data science.

About me

I believe that being a professor or a researcher needs a calling, and I received both in different moments. I see myself teaching since my classmates in high school elected me as the class' math tutor. The following years as a private and university tutor just confirmed it. The calling for the research came several years later, during my internship at the University of Chicago. Currently, I'm a 3rd year PhD student at the Computer Science department in the Università degli Studi di Milano. I'm passionate about network science and big data analysis.

Download short CV

Experience

University of Milan

PhD student

October 2021 - present

Phd Student at Connets Lab, where I am also the manager of the website. My research is focused on the field of complex networks, with a specific interest in un- derstanding 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. Overall, my research is aimed at improving our understanding of the complex dynamics of social and financial networks, with a particular focus on the unique temporal aspects of behavior in Web3 platforms.

ITU Copenhagen

PhD visiting

April 2023 - July 2023

I'm a PhD visitor at NERDS Lab and I’m currently working on the COllective COordination through ONline Social media (COCOONS) project, supervised by Prof. Luca Maria Aiello.

University of Milan

Research fellow

June 2021 - October 2021

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.

University of Chicago

Summer Intern

July-August 2019

Feasibility study of a machine learning project, concerning audio backdoors. The work initially consisted in analyzing the state of art methods and testing them. I also found errors and discussed them with the authors themselves. During my stay I also attended lab and students meetings and a phd dissertation. This experience taught me to work in autonomy and to be adaptable.

Teaching

Social Media Mining

Teaching Assistant

February 2023 - present | University of Milan

Lab for Social Media Mining course of the bachelor degree in Computer Science for Digital Communication in the Computer Science Department

Social Network Analysis

Teaching Assistant

September 2022 - present | University of Milan

Lab for Social Network Analysis course of the master degree in Data Science and Economics in the Economics, Management, and Quantitative Methods Department

Basics of Computer Science

Tutor

May 2019 - February 2021 | University of Milan

Tutor for a course of Basics of Computer Science at University of Milan. The role was divided in a didactical part, where I taught lessons both online and in class and also recorded some video-lessons. I also covered a leader role, managing other tutors work and shifts, creating new material and so on.

Education

Master Degree in Computer Science

University of Milan

110 cum laude | April 2020

Thesis: Graph-based customer segmentation through cashless payment data

Bachelor degree in Computer Science for Digital Communication

University of Milan

102/110 | December 2018

Thesis: NSFW content identification in a decentralized social network

Publications

International Journals

  • A. Galdeman, C.T. Ba, M. Zignani, C. Quadri, S. Gaito
    City Consumption Profile: a city perspective on the spending behavior of citizens
    in: Applied Network Science, Springer-Nature
  • C.T. Ba, M. Dileo, A. Galdeman, M. Zignani, S. Gaito
    Analyzing user migration in blockchain online social networks through network structure and discussion topics of communities on multilayer networks
    in: Distributed Ledger Technologies: Research and Practice

International Conferences

  • A. Galdeman, M. Zignani, S. Gaito
    Unfolding temporal networks through statistically significant graph evolution rules
    in: The 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA) 2023
  • C. T. Ba, A. Galdeman, M. Dileo, M. Zignani, and S. Gaito
    User migration prediction in blockchain socioeconomic networks using graph neural networks
    in Proceedings of the 2023 ACM Conference on Information Technology for Social Good (2023)
  • A. Galdeman, M. Zignani, S. Gaito
    User migration across Web3 online social networks: behaviors and influence of hubs
    Accepted in: IEEE International Conference on Communications (ICC) 2023
  • A. Galdeman, M. Zignani, S. Gaito
    Disentangling the Growth of Blockchain-based Networks by Graph Evolution Rule Mining
    in: The 9th IEEE International Conference on Data Science and Advanced Analytics (DSAA) 2022
  • C. T. Ba, A. Galdeman, M. Dileo, C. Quadri, M. Zignani, and S. Gaito
    Web3 social platforms: modeling, mining and evolution
    in: 1ST Italian Conference on Big Data and Data Science (ItaData) 2022
  • C. T. Ba, A. Galdeman, M. Zignani, and S. Gaito
    Temporal analysis of cooperative behaviour in a blockchain for humanitarian aid during the COVID- 19 pandemic
    in:The 2022 ACM International Conference on Information Technology for Social Good (GoodIT) 2022
  • A. Galdeman, C.T. Ba, M. Zignani, C. Quadri, S. Gaito
    A Multilayer Network Perspective on Customer Segmentation Through Cashless Payment Data
    in: The 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA) 2021

Extended Abstracts

  • C.T. Ba, A. Galdeman, M. Zignani, S. Gaito
    Social activity and decentralized applications in blockchain-based social networks
    accepted in: CSoNet 2021
  • A. Galdeman, C.T. Ba, A. Caputo, M. Zignani, S. Gaito
    The Hub-bit: traits, role and influence of central nodes during a user migration
    accepted in: International School and Conference on Network Science (NetSciX) 2022
  • A. Galdeman, M. Zignani, and S. Gaito
    The growth of Web3 techno-social systems through graph evolution rules
    in: Conference on Complex Systems (CCS) 2022
  • A. Galdeman, L. La Cava, M. Zignani, A. Tagarelli, and S. Gaito
    Clubs of wallets: A dive into the mesoscopic features of NFT transaction networks
    in: 1st Complex Data Block Workshop at Conference on Complex Systems (CCS)
  • A. Galdeman, M. Chiatante, M. Zignani, and S. Gaito
    Disentangling the Growth of Web3 Blockchain-based Networks by Graph Evolution Rules
    in: The 11th International Conference on Complex Networks and their Application (CNA) 2022

Get In Touch

I'd love to hear from you.

Whether you want to collaborate
or just have some questions, email me!

Reach me at

alessia.galdeman@unimi.it
Linkedin