Insights and caveats from mining local and global temporal motifs in cryptocurrency transaction networks

NA Arnold, P Zhong, CT Ba, B Steer, R Mondragon… - Scientific Reports, 2024 - nature.com
Distributed ledger technologies have opened up a wealth of fine-grained transaction data
from cryptocurrencies like Bitcoin and Ethereum. This allows research into problems like …

Discrete-time graph neural networks for transaction prediction in Web3 social platforms

M Dileo, M Zignani - Machine Learning, 2024 - Springer
In Web3 social platforms, ie social web applications that rely on blockchain technology to
support their functionalities, interactions among users are usually multimodal, from common …

Patterns in temporal networks with higher-order egocentric structures

B Arregui-García, A Longa, QF Lotito, S Meloni… - Entropy, 2024 - mdpi.com
The analysis of complex and time-evolving interactions, such as those within social
dynamics, represents a current challenge in the science of complex systems. Temporal …

[HTML][HTML] Characterizing growth in decentralized socio-economic networks through triadic closure-related network motifs

CT Ba, M Zignani, S Gaito - Online Social Networks and Media, 2023 - Elsevier
The emergence of the Web3 paradigm has led to more and more systems built on
blockchain technology and relying on cryptocurrency tokens–both fungible and non-fungible …

Graph Evolution Rules Meet Communities: Assessing Global and Local Patterns in the Evolution of Dynamic Networks

A Galdeman, M Zignani, S Gaito - Big Data Mining and …, 2024 - ieeexplore.ieee.org
The study of dynamic networks in computer science has become crucial, given their ever-
evolving nature within digital ecosystems. These networks serve as fundamental models for …

Investigating shocking events in the ethereum stablecoin ecosystem through temporal multilayer graph structure

CT Ba, RG Clegg, BA Steer, M Zignani - arXiv preprint arXiv:2407.10614, 2024 - arxiv.org
In the dynamic landscape of the Web, we are witnessing the emergence of the Web3
paradigm, which dictates that platforms should rely on blockchain technology and …

User migration prediction in blockchain socioeconomic networks using graph neural networks

CT Ba, A Galdeman, M Dileo, M Zignani… - Proceedings of the 2023 …, 2023 - dl.acm.org
The growing popularity of online social media (OSM) has led to the creation of a wide
amount of social media platforms. In this context, the increasing competition among …

Unfolding temporal networks through statistically significant graph evolution rules

A Galdeman, M Zignani, S Gaito - 2023 IEEE 10th International …, 2023 - ieeexplore.ieee.org
Understanding and extracting knowledge from temporal networks is crucial to understand
their dynamic nature and gain insights into their evolutionary characteristics Existing …

Mining and learning Web3 platforms: a temporal network perspective

CT Ba - 2024 - air.unimi.it
In the past decade, there has been a notable shift in Internet services, challenging the
traditional structure of Web 2.0 dominated by a few centralized platforms. This transformation …

A Framework for Network Evolution

A Galdeman - 2024 - air.unimi.it
The digital transformation has fundamentally reshaped how organizations operate, leading
to an unprecedented flood of data across all sectors. With the global digital transformation …