2018-2019

Social Network Analysis

Credits: 
2
Hours: 
20
Area: 
Big Data Mining
Description: 

This course introduces students to the theories, concepts and measures of Social Network Analysis (SNA), that is aimed at characterizing the structure of large-scale Online Social Networks (OSNs). The course presents both classroom teaching to introduce theoretical concepts, and hands-on computer work to apply the theory on real large-scale datasets obtained from OSNs like Facebook and Twitter.

Text Analytics and Opinion Mining

Credits: 
2
Hours: 
20
Area: 
Big Data Mining
Description: 

This module introduces the main methods of analysis and mining of opinions and personal evaluations for users based on Big Data generated on the web or other sources. Emphasis will be put on text mining method applied to text originated on social media. Lessons will be supported by case studies developed in the SoBigData.eu lab.

Pirri Salvatore

Motivated and highly passionate about Management of Innovation and Data Science, since 2016 I am a PhD student in Innovation Management at Sant'Anna School of Advanced Studies. I graduated cum laude in Economics and Sciences of Public Government MSc. from University of Calabria, and gained by MBA in Business Administration and Services Innovation from Sant'Anna School of Advanced Studies in 2015.

English

Web Mining

Credits: 
2
Hours: 
20
Area: 
Big Data Mining
Description: 

The course presents the main web data analysis techniques. By using the query log of a real search engine as a case study, students are guided in the development of a set of methodologies for data analysis aimed at creating the knowledge base for building a recommendation system. Then, the course discusses how the same information can be used to optimize the ranking in Web services. To this regard, the course introduces the learning to rank techniques aimed at estimating the relevance of objects with respect to specific user information needs.

Comandè Giovanni

Giovanni Comandè (LLM Harvard Law School USA, Ph.D. Scuola Superiore Sant’Anna) is Full Professor of Private comparative law at Scuola Superiore Sant’Anna where he also studied as ordinary student.

English

Milli Letizia

Letizia Milli holds Master Degree in Computer Science from University of Pisa, Italy graduated magna cum laude (110/110 cum laude) in 2013. 
She is currently a PhD student in Computer Science at the University of Pisa and a member of the Knowledge Discovery and Data Mining Laboratory (KDD-Lab), a joint research group with the Information Science and Technology Institute of the National Research in Pisa.
Her research interests include data mining, quantification, diffusion of phenomena and innovation in complex networks and the Science of Success.

English

Cresci Stefano

Stefano received his Bachelor’s and Master’s degrees in Computer Engineering from the University of Pisa respectively in 2007 and 2013. He also received a post-graduate Master’s degree in Big Data Analytics & Social Mining from the University of Pisa in 2016. Currently, he is a PhD Student at the Information Engineering School of the University of Pisa. He is also a Research Fellow at the Institute of Informatics and Telematics (IIT) of the National Research Council (CNR) in Pisa, Italy.

English

Bachini Viola

I graduated from Scuola Internazionale Superiore di Studi Avanzati di Trieste with a master's in Science Communication. Currently I am collaborating with various organizations in the field of science communication. I specifically write about science and technology subjects on many national newspapers such as La Repubblica and L'Espresso.

English

Tesconi Maurizio

Maurizio Tesconi is a researcher in Computer Science and a member of the Web Application for the Future Internet group at the Institute for Informatics and Telematics of the National Research Council (CNR) of Pisa. His PhD thesis was about the development of a framework for the management of complex semantic resources. His research interests include Social Web Mining and Social Media Analysis, Visual Analytics, and Natural Language Processing.

English

Turini Franco

Franco Turini was born in 1949 in Italy. He graduated in Computer Science (Laurea in Scienze dell' Informazione) summa cum laude in 1973, from the University of Pisa. He is currently a full professor in the Department of Computer Science of the University of Pisa. In 78/80 he has been a visiting scientist of the Carnegie-Mellon University (Pittsburgh) and of the IBM Research Center S.Jose, afterwards. In 92/93 he has been visiting professor at the University of Utah.

English

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