Related Experiment Video
Updated: Sep 1, 2025

05:24
Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
Published on: January 10, 2025
500
Heterogeneous rarity patterns drive price dynamics in NFT collections
Amin Mekacher1, Alberto Bracci1, Matthieu Nadini2
1Department of Mathematics, University of London, London, EC1V 0HB, UK.
Scientific Reports
|August 16, 2022
Summary
Rarer Non-Fungible Tokens (NFTs) command higher prices and offer better investment returns. This study analyzes 3.7M transactions, revealing rarity significantly influences NFT market behavior and reduces risk.
Area of Science:
- Digital Assets and Market Analysis
- Blockchain Technology and Economics
Background:
- Non-Fungible Tokens (NFTs) have gained significant market traction.
- Understanding the factors driving NFT value and market dynamics is crucial for participants.
Purpose of the Study:
- To quantify Non-Fungible Token (NFT) rarity based on attributes.
- To investigate the impact of NFT rarity on market behavior and performance.
Main Methods:
- Analysis of a large dataset comprising 3.7 million transactions.
- Examination of 1.4 million NFTs across 410 distinct collections from January 2018 to June 2022.
- Quantification of rarity using human-readable NFT attributes.
Main Results:
- Most NFT collections exhibit heterogeneous rarity distributions, with few rare items and many common ones.
- Rarer NFTs are associated with higher selling prices and greater returns on investment.
- NFT rarity correlates with lower trading frequency and reduced risk (less prone to negative returns).
Conclusions:
- NFT rarity is a significant determinant of market behavior and value.
- Findings provide insights for researchers, creators, collectors, and traders in the NFT space.
- Rarity acts as a key indicator for investment potential and risk assessment in the NFT market.
Related Concept Videos
Unusual Results
3.3K
Unusual results are those that have a very low chance of occurring. Unusual results can be identified using probabilities and the range rule of thumb. In problems involving probability, unusual results can be observed in 2 instances – an unusually high number of successes or an unusually low number of successes.
According to the range rule of thumb, any value above or below two standard deviations, 2σ from the mean, μ is considered unusual.
Maximum unusual value =...
According to the range rule of thumb, any value above or below two standard deviations, 2σ from the mean, μ is considered unusual.
Maximum unusual value =...
3.3K
Relative Frequency Histogram
5.6K
The relative frequency depicts the proportion of data points that have each value. The frequency tells the number of data points that have each value. Like the histogram, a relative frequency histogram also has the same shape with a horizontal scale (the x-axis), but the vertical scale (the y-axis) is marked with relative frequencies (percentages of the whole) instead of actual frequencies. A relative frequency histogram is a graphical representation of a frequency distribution where the...
5.6K
Probability Distributions
7.9K
The probability of a random variable x is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
7.9K
Distribution and Dispersion
22.3K
To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
22.3K
Histogram
14.3K
The histogram is a graphical representation in the x-y form of data distribution in a data set. The horizontal x-axis is labeled with what the data represents (for instance, distance from your home to school). The vertical y-axis is labeled either frequency or relative frequency (or percent frequency or probability).
A histogram graph consists of contiguous (adjoining) boxes. The heights of the bars correspond to frequency values. The graph will have the same shape with respective labels. The...
A histogram graph consists of contiguous (adjoining) boxes. The heights of the bars correspond to frequency values. The graph will have the same shape with respective labels. The...
14.3K
Genetic Drift
40.6K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
40.6K

