Unraveling the Long Tail Phenomenon. An Investigation into Netflix Series Consumption Patterns

Maurizio Naldi graduated in Electronic Engineering (magna cum laude) at the University of Palermo and earned his PhD in Telecommunications Engineering and Microelectronics at the University of Rome Tor Vergata in 1998. He is currently a Full Professor of Computer Science at LUMSA University in Rome. Prior to this appointment, he was an Associate Professor of Computer Science at the University of Rome Tor Vergata. He is Co-Editor of the Electronic Commerce Research and Applications journal (Elsevier) and was the General Chair for the 2019 edition of the Annual Privacy Forum and Co-Chair for the 2020 edition, as well as Chair of the 2021 and 2024 editions of the IEEE International Conference on the Economics of Grids, Cloud, Systems and Services (GECON). His present research interests include network economics, cyber-risk analysis, data protection, and machine learning.

Paolo Fantozzi is an Assistant Professor at LUMSA, where he is in charge of the courses “Algorithms and Data Structures”, “Databases and Big Data”, and “Data and Social Network Analysis”. His research interests are Machine Learning, Artificial Intelligence, Natural Language Processing, Efficient Algorithms on Graphs and Hypergraphs and Theoretical Computer Science.

Paola Dalla Torre is an Associate Professor of Film and Television at LUMSA in Rome. Her research has developed along some main lines: the study of contemporary cinema in its ethical and philosophical implications; the analysis of the science fiction genre in the contemporary world; and recently the analysis of television series through a quantitative methodology.