Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT
Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He

TL;DR
This paper introduces Live Graph Lab, a platform for analyzing open, dynamic transaction graphs from blockchain NFTs, revealing unique properties and dynamics of this emerging ecosystem through large-scale temporal graph analysis.
Contribution
The paper presents a novel platform for real-time NFT transaction graph analysis and provides initial insights into its properties, filling a gap in understanding blockchain-based NFT ecosystems.
Findings
NFT transaction network has over 4.5 million nodes and 124 million edges.
NFT ecosystem exhibits unique temporal and structural properties compared to social and citation networks.
Machine learning models on the live graph offer new opportunities for analysis and dataset enrichment.
Abstract
Numerous studies have been conducted to investigate the properties of large-scale temporal graphs. Despite the ubiquity of these graphs in real-world scenarios, it's usually impractical for us to obtain the whole real-time graphs due to privacy concerns and technical limitations. In this paper, we introduce the concept of {\it Live Graph Lab} for temporal graphs, which enables open, dynamic and real transaction graphs from blockchains. Among them, Non-fungible tokens (NFTs) have become one of the most prominent parts of blockchain over the past several years. With more than $40 billion market capitalization, this decentralized ecosystem produces massive, anonymous and real transaction activities, which naturally forms a complicated transaction network. However, there is limited understanding about the characteristics of this emerging NFT ecosystem from a temporal graph analysis…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
Taxonomy
TopicsBlockchain Technology Applications and Security · Complex Network Analysis Techniques · Caching and Content Delivery
