activity
20182021
most citedOn Technical Trading and Social Media Indicators in Cryptocurrencies' Price Classification Through Deep Learning

2 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

cond-mat.stat-mech2021

"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…

q-fin.ST20212 cited

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…

cs.CY2019

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…

cs.CY2019

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…

cs.CY2018

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…