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DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk
TLDR
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. Expand
The spreading of misinformation online
TLDR
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. Expand
Scale-Free Networks - Complex Webs in Nature and Technology
TLDR
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. Expand
Scale-free networks from varying vertex intrinsic fitness.
TLDR
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). Expand
A Network Analysis of the Italian Overnight Money Market
The objective of this paper is to analyze, by employing methods of statistical mechanics of complex networks, the network topology of the Italian segment of the European overnight money market. WeExpand
A New Metrics for Countries' Fitness and Products' Complexity
TLDR
It is shown that a non-linear iteration is necessary to bound the complexity of products by the fitness of the less competitive countries exporting them, and the correct and simplest approach to measure the competitiveness of countries is the one presented in this work. Expand
Science vs Conspiracy: Collective Narratives in the Age of Misinformation
TLDR
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. Expand
The Effects of Twitter Sentiment on Stock Price Returns
TLDR
Investigating the relations between a well-known micro-blogging platform Twitter and financial markets shows that sentiment polarity of Twitter peaks implies the direction of cumulative abnormal returns. Expand
Fitness model for the Italian interbank money market.
TLDR
This work uses the theory of complex networks in order to quantitatively characterize the formation of communities in a particular financial market by means of a model of network growth and it reproduces correctly all the various statistical properties of the system. Expand
A Network Analysis of the Italian Overnight Money Market
The objective of this paper is to analyse the network topology of the Italian segment of the European overnight money market through methods of statistical mechanics applied to complex networks. WeExpand
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