Our Phd students Alessia and Manuel presented some new works at the 11th International Conference on Complex Networks and their Application, here’s the list: Congrats!
Our Phd students Cheick and Alessia presented some new works at the Conference on Complex Systems (CCS22), here’s the list: Congrats!
Our Phd student Cheick presented our paper titled “Link prediction with text in online social networks: the role of textual content on high-resolution temporal data” at the 25th International Conference on Discovery Science. Congrats!
Our Phd student Cheick presented our paper titled “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). Congrats!
Video presentation of the extended abstract: “The Hub-bit: traits, role and influence of central nodes during a user migration” accepted in International School and Conference on Network Science (NetSciX). Enjoy! View at https://drive.google.com/file/d/1l-IsBGdhVfbBBbzMkasBbvW-o0-FFC2T/view?usp=sharing
We are pleased to announce that our paper “The role of groups in a user migration across blockchain-based online social media” has been accepted at BRAIN, the 3rd Workshop on Blockchain theoRy and ApplicatIoNs hosted at PERCOM22!
Our Phd students Alessia and Cheick presented a work titled “The Hub-bit: traits, role and influence of central nodes during a user migration” as extended abstract in International School and Conference on Network Science (NetSciX). Congrats!
Our Phd Cheick presented a work titled “Social Activity and Decentralized Applications in Blockchain-based Social Networks” in as extended abstract during the 10th International Conference on Computational Data and Social Networks (CsoNet). Congrats!
Our Phd Alessia presented our paper titled “A Multilayer Network Perspective on Customer Segmentation Through Cashless Payment Data ” in a Special session of the 8th IEEE International Conference on Data Science and Advanced Analytics (DSAA). Congrats!
Our students Maria and Marco from the Data Science and Economics master degree won the contest of an asset management company called AcomeA for the savings application gimme5. The topic was “machine learning to classify users that can reach their goals“. Congrats! Here’s the video of the winner’s presentation: https://www.linkedin.com/posts/kireygroup_machinelearning-challenge-unimi-activity-6811646671944994816-d0xu