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Silvia Bartolucci

As seen in: Taylor & Francis Online, Physical Review B
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Articles

Deep limit order book forecasting: a microstructural guide

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By Silvia Bartolucci, Tomaso Aste, Antonio Briola
| Taylor & Francis Online
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. Abstract We exploit cutting-edge deep learning methodologies to explore the predictability of high-frequency Limit Order Book mid-price changes for a heterogeneous set of stocks traded on the NASDAQ exchange.
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DApps Ecosystems: Mapping the Network Structure of Smart Contract Interactions

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By Silvia Bartolucci, Giuseppe Destefanis, Giacomo Ibba, Rumyana Neykova
| arxiv.org
[Submitted on 3 Jan 2024] Title:DApps Ecosystems: Mapping the Network Structure of Smart Contract Interactions Download a PDF of the paper titled DApps Ecosystems: Mapping the Network Structure of Smart Contract Interactions, by Sabrina Aufiero and 5 other authors Download PDF HTML (experimental) Abstract:In recent years, decentralized applications (dApps) built on blockchain platforms such as Ethereum and coded in languages such as Solidity, have gained attention for their potential to...
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Ranking influential nodes in networks from aggregate local information

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By South Kensington, Fabio Caccioli, Silvia Bartolucci
| Physical Review B
Many complex systems exhibit a natural hierarchy in which elements can be ranked according to a notion of “influence”.
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