52 citations · 153 across the 12 of their papers we have counts for
17 papers
Large deviations for linear regressions
Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli +1
Linear regression is one of the simplest and most widely used tools to learn patterns from data: it fits a set of coefficients so that a linear combination of predictors best match…
DebtStreamness: An Ecological Approach to Credit Flows in Inter-Firm Networks
Anahí Rodríguez-Martínez, Silvia Bartolucci, Francesco Caravelli +3
Understanding how credit flows through inter-firm networks is critical for assessing financial stability and systemic risk. In this study, we introduce DebtStreamness, a novel metr…
Distribution of centrality measures on undirected random networks via cavity method
Silvia Bartolucci, Francesco Caravelli, Fabio Caccioli +1
The Katz centrality of a node in a complex network is a measure of the node's importance as far as the flow of information across the network is concerned. For ensembles of locally…
Homological Convolutional Neural Networks
Antonio Briola, Yuanrong Wang, Silvia Bartolucci +1
Deep learning methods have demonstrated outstanding performances on classification and regression tasks on homogeneous data types (e.g., image, audio, and text data). However, tabu…
A Preliminary Analysis on the Code Generation Capabilities of GPT-3.5 and Bard AI Models for Java Functions
Giuseppe Destefanis, Silvia Bartolucci, Marco Ortu
This paper evaluates the capability of two state-of-the-art artificial intelligence (AI) models, GPT-3.5 and Bard, in generating Java code given a function description. We sourced…
Correlation between upstreamness and downstreamness in random global value chains
Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli +1
This paper is concerned with upstreamness and downstreamness of industries and countries. Upstreamness and downstreamness measure respectively the average distance of an industrial…
Cryptocurrency co-investment network: token returns reflect investment patterns
Luca Mungo, Silvia Bartolucci, Laura Alessandretti
Since the introduction of Bitcoin in 2009, the dramatic and unsteady evolution of the cryptocurrency market has also been driven by large investments by traditional and cryptocurre…
"Spectrally gapped" random walks on networks: a Mean First Passage Time formula
Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli +1
We derive an approximate but explicit formula for the Mean First Passage Time of a random walker between a source and a target node of a directed and weighted network. The formula…
On Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning
Marco Ortu, Nicola Uras, Claudio Conversano +2
This work aims to analyse the predictability of price movements of cryptocurrencies on both hourly and daily data observed from January 2017 to January 2021, using deep learning al…
Upstreamness and downstreamness in input-output analysis from local and aggregate information
Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli +1
Ranking sectors and countries within global value chains is of paramount importance to estimate risks and forecast growth in large economies. However, this task is often non-trivia…
Ranking influential nodes in networks from partial information
Silvia Bartolucci, Fabio Caccioli, Francesco Caravelli +1
Many complex systems exhibit a natural hierarchy in which elements can be ranked according to a notion of "influence". While the complete and accurate knowledge of the interactions…
A percolation model for the emergence of the Bitcoin Lightning Network
Silvia Bartolucci, Fabio Caccioli, Pierpaolo Vivo
The Lightning Network is a so-called second-layer technology built on top of the Bitcoin blockchain to provide "off-chain" fast payment channels between users, which means that not…
A Model of the Optimal Selection of Crypto Assets
Silvia Bartolucci, Andrei Kirilenko
We propose a modelling framework for the optimal selection of crypto assets. Crypto assets differ by two essential features: security (technological) and stability (governance). In…
SHARVOT: secret SHARe-based VOTing on the blockchain
Silvia Bartolucci, Pauline Bernat, Daniel Joseph
Recently, there has been a growing interest in using online technologies to design protocols for secure electronic voting. The main challenges include vote privacy and anonymity, b…
The role of idiotypic interactions in the adaptive immune system: a belief-propagation approach
Silvia Bartolucci, Alexander Mozeika, Alessia Annibale
In this work we use belief-propagation techniques to study the equilibrium behaviour of a minimal model for the immune system comprising interacting T and B clones. We investigate…
A dynamical model of the adaptive immune system: effects of cells promiscuity, antigens and B-B interactions
Silvia Bartolucci, Alessia Annibale
We analyse a minimal model for the primary response in the adaptive immune system comprising three different players: antigens, T and B cells. We assume B-T interactions to be dilu…
Parallel processing in immune networks
Elena Agliari, Adriano Barra, Silvia Bartolucci +3
In this work we adopt a statistical mechanics approach to investigate basic, systemic features exhibited by adaptive immune systems. The lymphocyte network made by B-cells and T-ce…