Discovering Hidden Communication Patterns and Informal Organization in Companies through Graph Analysis

In this study, we present a comprehensive framework for capturing, processing, and analyzing large-scale digital communication data to uncover hidden informal communication patterns within a real-world corporate environment. We run our study on a unique dataset of 40.425.247 email messages exchanged within a banking company, spanning a two-year period. Based on this information, we construct … Continue reading Discovering Hidden Communication Patterns and Informal Organization in Companies through Graph Analysis

Exploring the bi-verse: a trip across the digital and physical ecospheres

I've been invited to give a keynote talk at the WISE 2022 Conference. Thinking about it, I decided to focus on my idea of a bi-verse. To me, the bi-verse is the duality between the physical and digital worlds. On one side, the Web and social media are the environments where people post their content, … Continue reading Exploring the bi-verse: a trip across the digital and physical ecospheres

The VaccinEU dataset of COVID-19 Vaccine Conversations on Twitter in French, German, and Italian

Despite the increasing limitations for unvaccinated people, in many European countries, there is still a non-negligible fraction of individuals who refuse to get vaccinated against SARS-CoV-2, undermining governmental efforts to eradicate the virus. Within the PERISCOPE project, we studied the role of online social media in influencing individuals' opinions about getting vaccinated by designing a … Continue reading The VaccinEU dataset of COVID-19 Vaccine Conversations on Twitter in French, German, and Italian

Coronavirus stories and data

Coronavirus COVID-19 is an extreme challenge for our society, economy, and individual life. However, governments should have learnt from each other. The impact has been spreading slowly across countries. There has been plenty of time to take action. But apparently people and government can’t grasp the risk until it’s onto them. And the way European … Continue reading Coronavirus stories and data

Content-based Classification of Political Inclinations of Twitter Users

Social networks are huge continuous sources of information that can be used to analyze people's behavior and thoughts. Our goal is to extract such information and predict political inclinations of users. In particular, we investigate the importance of syntactic features of texts written by users when they post on social media. Our hypothesis is that … Continue reading Content-based Classification of Political Inclinations of Twitter Users

Understanding Polarized Political Events through Social Media Analysis

Predicting the outcome of elections is a topic that has been extensively studied in political polls, which have generally provided reliable predictions by means of statistical models. In recent years, online social media platforms have become a potential alternative to traditional polls, since they provide large amounts of post and user data, also referring to … Continue reading Understanding Polarized Political Events through Social Media Analysis