Joan Massachs, Corrado Monti, Gianmarco De Francisci Morales, and Francesco Bonchi.
Proceedings of the 12th ACM Conference on Web Science (WebScience2020). ACM, 2020.
Awarded with a Honorable Mention for Best Paper! 🎖
Generating Realistic Interest-Driven Information Cascades
Federico Cinus, Francesco Bonchi, Corrado Monti, and André Panisson.
International AAAI Conference on Weblogs and Social Media (ICWSM2020). AAAI, 2020.
Social classes and Italian elections
PhD Thesis
I received my PhD in Computer Science from the University of Milan, advised by Paolo Boldi and co-advised by Sebastiano Vigna, as a part of the Laboratory of Web Algorithmics in February 2017.
My PhD dissertation dealt with how to perform inference in complex networks when you have a great number of attributes (or features) on their nodes. For instance, we can discover that some features might repel each other or attract each other, fostering or hindering links. Discovering these patterns allows us to ask which groups of features have more effect, or to look for unusual interactions. Applications range from knowledge representation, discovering patterns in collaboration networks, to identifying surprising information.
If you're interested, here's
- My presentation slides
- My thesis [pdf, 161 pages, 6.1M]
- The articles I published from the thesis.
Estimating Latent Feature-Feature Interactions in Large Feature-Rich Graphs
Included in my PhD thesis.