Art Metrics

07/09/2019
by   Massimo Franceschet, et al.
0

Success in art markets is difficult to quantify objectively, as it also relies on complex social networks and exchanges of reputation among different actors of the system. We discuss the general task of developing art metrics that are able to capture the different roles actors play in art markets, in particular artists and collectors, are time-aware and efficient to account for the dynamic nature of such markets, and are predictive of future success. As a first contribution in this direction, we propose a method to capture the mutually reinforcing role of artists and collectors via a time-aware extension of Kleinberg's HITS method, originally developed for the Web. We apply the method to a dataset comprising all the events of the crypto art gallery SuperRare during its first year of existence. Crypto art is limited-edition, collectible, and tradable digital art cryptographically registered on a blockchain. This very recent artistic movement, sharing several approaches and philosophies with conceptual art, is producing data at an unprecedented level of detail when compared to the traditional art market. The proposed method is predictive of future success and accurately captures the roles of artists and collectors.

READ FULL TEXT
research
02/09/2020

Ascertaining price formation in cryptocurrency markets with DeepLearning

The cryptocurrency market is amongst the fastest-growing of all the fina...
research
09/30/2021

Matching Markets

Matching markets are of particular interest in computer science and econ...
research
10/21/2018

CNNPred: CNN-based stock market prediction using several data sources

Feature extraction from financial data is one of the most important prob...
research
03/10/2020

CNNpred: CNN-based stock market prediction using a diverse set of variables

Feature extraction from financial data is one of the most important prob...
research
05/24/2023

Bert4CMR: Cross-Market Recommendation with Bidirectional Encoder Representations from Transformer

Real-world multinational e-commerce companies, such as Amazon and eBay, ...
research
01/18/2012

Dynamic Shared Context Processing in an E-Collaborative Learning Environment

In this paper, we propose a dynamic shared context processing method bas...
research
11/10/2021

Can you always reap what you sow? Network and functional data analysis of VC investments in health-tech companies

"Success" of firms in venture capital markets is hard to define, and its...

Please sign up or login with your details

Forgot password? Click here to reset