NFT Networks Mirror Social Structures with Influencer Nodes, Community Hubs, & Zipfian Distributions

16 Jan 2025

NFT networks' resemblance to social networks, explores key properties, and demonstrates the LPPL model's bubble prediction capabilities.

LPPL (Logarithmic Periodic Power Law) Model Effectively Predicts NFT Market Bubbles

16 Jan 2025

The LPPL model detects NFT market bubbles using time-series data, distinguishing rational and noise traders to analyze price trends and oscillations.

NFT Transaction Networks Are Highly Decentralized and Influenced by Key Nodes

16 Jan 2025

Analyze NFT transaction networks as directed graphs, highlighting ownership trends, influential nodes, and community structures through advanced graph analysis.

Dataset Exploration and Experimentation for NFT Transaction Analysis

16 Jan 2025

Analyzing Ethereum blockchain datasets for NFT transactions, visualizing networks with Neo4j, and predicting CryptoPunks price trends using LPPL models.

Understanding NFT Transaction Networks Through Analysis and Prediction

16 Jan 2025

Explore the growth, network properties, and market predictions of NFTs using graph analysis and bubble forecasting for collections like CryptoPunks.

Graph Analysis and Bubble Prediction Are Key to Understanding NFT Networks

16 Jan 2025

Review prior studies on blockchain graph analysis, ERC-20 and ERC-721 networks, and bubble prediction, highlighting gaps and new approaches for NFTs.

NFT Ownership Is Decentralized and Follows a Zipfian Distribution

16 Jan 2025

This section examines NFT ownership trends, decentralized market dynamics, and Zipfian token distribution, highlighting unique collection behaviors.