Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Cazabet, Rémy"'
We analyze the token transfer network on Ethereum, focusing on accounts associated with Alameda Research, a cryptocurrency trading firm implicated in the misuse of FTX customer funds. Using a multi-token network representation, we examine node centra
Externí odkaz:
http://arxiv.org/abs/2409.10949
Most available data is unstructured, making it challenging to access valuable information. Automatically building Knowledge Graphs (KGs) is crucial for structuring data and making it accessible, allowing users to search for information effectively. K
Externí odkaz:
http://arxiv.org/abs/2409.03284
Temporal networks are commonly used to model real-life phenomena. When these phenomena represent interactions and are captured at a fine-grained temporal resolution, they are modeled as link streams. Community detection is an essential network analys
Externí odkaz:
http://arxiv.org/abs/2408.16877
Autor:
Coquidé, Célestin, Cazabet, Rémy
Research on Bitcoin (BTC) transactions is a matter of interest for both economic and network science fields. Although this cryptocurrency is based on a decentralized system, making transaction details freely accessible, making raw blockchain data ana
Externí odkaz:
http://arxiv.org/abs/2408.14147
Decentralized Finance (DeFi) is increasingly studied and adopted for its potential to provide accessible and transparent financial services. Analyzing how investors use DeFi is important for reaching a better understanding of their usage and for regu
Externí odkaz:
http://arxiv.org/abs/2408.12311
Autor:
Rossetti, Giulio, Stella, Massimo, Cazabet, Rémy, Abramski, Katherine, Cau, Erica, Citraro, Salvatore, Failla, Andrea, Improta, Riccardo, Morini, Virginia, Pansanella, Valentina
In this paper we introduce Y, a new-generation digital twin designed to replicate an online social media platform. Digital twins are virtual replicas of physical systems that allow for advanced analyses and experimentation. In the case of social medi
Externí odkaz:
http://arxiv.org/abs/2408.00818
Groups -- such as clusters of points or communities of nodes -- are fundamental when addressing various data mining tasks. In temporal data, the predominant approach for characterizing group evolution has been through the identification of ``events".
Externí odkaz:
http://arxiv.org/abs/2403.06771
Community structure is a critical feature of real networks, providing insights into nodes' internal organization. Nowadays, with the availability of highly detailed temporal networks such as link streams, studying community structures becomes more co
Externí odkaz:
http://arxiv.org/abs/2310.02840
Publikováno v:
French Regional Conference on Complex systems 2023 (FRCCS2023), Le Havre, France
Magmas form at depth, move upwards and evolve chemically through a combination of processes. Magmatic processes are investigated by means of fieldwork combined with geophysics, geochemistry, analog and numerical models, and many other approaches. How
Externí odkaz:
http://arxiv.org/abs/2401.02959
We study the real economic activity in the Bitcoin blockchain that involves transactions from/to retail users rather than between organizations such as marketplaces, exchanges, or other services. We first introduce a heuristic method to classify Bitc
Externí odkaz:
http://arxiv.org/abs/2307.08616