Analysing the Inner Structure of Episodes in House, M.D. through Network Analysis

Paola Dalla Torre is associate professor of Cinema, Photography, Television at LUMSA University in Rome. Her research activity has developed along some guidelines: the study of contemporary cinema in its ethical-philosophical implications; the analysis of the genre of science fiction in the contemporary world; and recently the analysis of TV series through a quantitative methodology. In addition, her research is now focused on the economic-cultural study of Italian film exhibition, within nationally funded research on Italian cinemas with three Italian universities (Cin_Ex, PI Mariagrazia Fanchi).

Paolo Fantozzi has a Master’s Degree in Engineering in Computer Science and a PhD in Computer Engineering, both obtained at Sapienza University of Rome. He is an assistant professor at LUMSA University in Rome, 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. His Erdos number is 4. He worked on many different research and development projects in many fields: agriculture, transportation, energy management, predictive maintenance, health care, disease monitoring, information retrieval, cyber security, law and regulations. He led the team who created the Voice Assistant at IBM IoT Lab in Hursley in 2018. He has been a tutor at the Italian Olympiads in Informatics since 2018.

Maurizio Naldi is full professor of Computer Science at LUMSA University in Rome. He got his PhD in Telecommunications Engineering from the University of Rome Tor Vergata and his MSc in Electronic Engineering from the University of Palermo in 1988. Prior to his academic career, he pursued an industrial career in several ICT companies, ending as Head, Traffic Forecasting and Cost Analysis in WIND Telecomunicazioni in 2000. He was with the University of Tor Vergata, first as an assistant professor and then as an associate professor from 2000 to 2019. He is co-editor of the Electronic Commerce Research and Applications journal, published by Elsevier. His research interests span the fields of network and service economics, e-commerce, risk analysis, and applications of machine learning.