Analysis of Factors Influencing Azuki (NFT) Prices and Value Prediction
-
- 발행기관
- 한국경영정보학회 바로가기
-
- 간행물
- 한국경영정보학회 정기 학술대회 바로가기
-
- 통권
- 2025 경영정보관련 학회 춘계통합학술대회 (2025.05)바로가기
-
- 페이지
- pp.11-17
-
- 저자
-
- 언어
- 영어(ENG)
-
- URL
- https://www.earticle.net/Article/A472616
※ 기관로그인 시 무료 이용이 가능합니다.
원문정보
초록
- 영어
- The NFT (Non-Fungible Token) market has grown rapidly, especially in the field of digital art and collectibles. However, significant price differences are often observed even among NFTs with similar traits, suggesting that valuation mechanisms involve more complex factors beyond rarity scores. This study examines the Azuki NFT collection to analyze how visual features, rarity attributes, and buyer behavior influence market prices. Metadata including traits, rarity scores, ownership information, and listing prices were collected and processed. By combining image embeddings with principal component analysis (PCA) and regression modeling, the study finds that both structured metadata and visual characteristics significantly impact pricing. These findings shed light on NFT pricing dynamics and suggest new approaches for data-driven asset valuation.
목차
Abstract
1. Introduction
2. Research Background
3. Research Methodology
3.1. Data Collection
3.2. Feature Engineering
3.3. Model Construction and Analysis
3.4. User Behavior Analysis and Image Clustering
4. Results
4.1. Feature Importance Analysis (SHAP Results)
4.2. Analysis of User Behavior Patterns
4.3. Image Clustering Analysis
4.4. High-Value NFT Identification Model(XGBoost Classification)
5. Discussion
5.1. Market Pricing Significance of Image Features
5.2 The Driving Role of User Behavior in the High-End NFT Market
5.3. The Indicative Power of Visual Clustering on Pricing
5.4 Academic Contributions and Practical Implications
5.5 Limitations and Future Research Directions
6. Conclusion
References
키워드
Azuki NFT NFT price prediction image feature analysis CLIP embeddings XGBoost regression user behavior analysis rarity score SHAP interpretation PCA NFT valuation저자
간행물 정보
발행기관
-
- 발행기관명
- 한국경영정보학회 [The Korea Society of Management information Systems]
- 설립연도
- 1989
- 분야
- 사회과학>경영학
- 소개
- 이 학회는 경영정보학의 연구 및 교류를 촉진하고 학문의 발전과 응용에 공헌함을 목적으로 합니다.
간행물
-
- 간행물명
- 한국경영정보학회 정기 학술대회 [KMIS Conference]
- 간기
- 반년간
- 수록기간
- 1990~2025
- 십진분류
- KDC 325 DDC 658
이 권호 내 다른 논문 / 한국경영정보학회 정기 학술대회 2025 경영정보관련 학회 춘계통합학술대회
피인용수 : 0건 (자료제공 : 네이버학술정보)
함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.
0개의 논문이 장바구니에 담겼습니다.