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.
This module presentes techniques and methods for acquisition of Big Data from a large sources of data available, including mobile phone data, GPS data, customer purchase data, social network data, open and administrative data, environmental and personal sensor data. We discuss also several participatory methods for crowdsourcing or crowdsensing collection of data through ad hoc campains like serious games and viral diffusion.
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.
The purpose of the course is to introduce the main analysis techniques for spatio-temporal data, with a particular focus on human mobility (including vehicles), aimed to better understand the overall mobility of a territory. The presentation will be supported by several case studies developed with the SoBigData.eu laboratory.
This module presents how to analyse traces that users leave from querying Web search engines (query log). It presents the main applications of Web mining including: i) how to profile the interests/activities of users, ii) how to use information from query logs for forecasting social indicators and optimizing Web search engines. Teaching activities will be supported by several case studies developed in the SoBigData.eu laboratory.
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.
Laureato all’Università Bocconi di Milano, in Discipline economiche e sociali, con la votazione di 110/110 e lode. E' editor di innovazione al Sole 24 Ore e Nova24 (del quale è stato fondatore, che ha guidato dall’ottobre2005 al giugno 2011; e che ha ripreso a guidare dal luglio 2013) e della Vita Nòva, magazine per tablet. E' docente al master di comunicazione della scienza all’Università di Padova e membro del comitato scientifico del master di comunicazione della scienza alla Sissa di Trieste e del master in Big data analytics della Luiss di Roma.
Roberto Trasarti was born in 1979 in Italy. He graduated in Computer Science in 2006, at the University of Pisa. He discussed his thesis on ConQueSt: a Constraint-based Query System aimed at supporting frequent patterns discovery. He started the Ph.D. in Computer Science at the School for Graduate Studies "Galileo Galilei", (University of Pisa). In June 2010 he received his Ph.D. presenting the thesis entitled "Mastering the Spatio-Temporal Knowledge Discovery Process".
Andrea Marchetti is a technologist in the Institute of Informatics and Telematic (IIT) of CNR Pisa. In 2009 he funded the Web Applications for the Future Internet Group and is responsible of the activity “Social and Semantic Web”. His main research interests are concerning: web of data, digital humanities, data visualization, social media analysis and data journalism. On these issues he produced several publications.
Davide Gazzè is a Software Architect at Integris S.r.l. He is working on the developing of a Big Data platform for text analysis. On 2015, he took a Ph.D. at Leonardo da Vinci school with a thesis in “Social Media Monitoring and Analysis: Multi-domain Perspectives”. From 2010 to 2015, he worked at the Institute of Informatics and Telematics at CNR of Pisa, where he was involved on crawling and analysis of Social Media data in fields like reputation analysis, OSING and touristic flow analysis.
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