Guido Caldarelli

TL;DR: A massive quantitative analysis of Facebook shows that information related to distinct narratives––conspiracy theories and scientific news––generates homogeneous and polarized communities having similar information consumption patterns, and derives a data-driven percolation model of rumor spreading that demonstrates that homogeneity and polarization are the main determinants for predicting cascades’ size.

TL;DR: This book presents the experimental evidence of these 'scale-free networks' and provides students and researchers with a corpus of theoretical results and algorithms to analyse and understand these features.

TL;DR: DebtRank, a novel measure of systemic impact inspired by feedback-centrality, is introduced, finding that a group of 22 institutions, which received most of the funds, form a strongly connected graph where each of the nodes becomes systemically important at the peak of the crisis.

TL;DR: A new mechanism leading to scale-free networks is proposed, which is called a good-get-richer mechanism, in which sites with larger fitness are more likely to become hubs (i.e., to be highly connected).

TL;DR: The results show that polarized communities emerge around distinct types of contents and usual consumers of conspiracy news result to be more focused and self-contained on their specific contents.