abstract: This study introduces an agent-based model to examine the relationship between
  constrained consumer attention and market concentration levels. The model incorporates
  aspects of social interaction, reinforcement learning, and bounded rationality from
  a consumer's perspective. Our findings indicate that e-commerce market concentration
  prevails despite the lack of product differentiation among the sellers. Importantly,
  we observe a negative correlation between consumer attention and market concentration
  ratio, suggesting that a higher concentration in the market is tied with reduced
  consumer attention. This correlation holds true across varying market sizes and
  social connection densities. Our research offers a novel perspective that may enhance
  traditional market structure theories and provides insights into the evolving patterns
  of market concentration prevalent in the internet economy.
authors:
- email: teng.li@rug.nl
  family-names: Li
  given-names: Teng
  orcid: https://orcid.org/0000-0001-7556-1257
- email: shaoniwang530@gmail.com
  family-names: Wang
  given-names: Shaoni
cff-version: 1.2.0
identifiers:
- type: url
  value: https://www.comses.net/codebases/28b3bd98-62f4-4d2e-85b2-cca3563bf98a/releases/1.0.0/
message: If you use this software, please cite it using the metadata from this file.
title: 'Consumer attention and market concentration in e-commerce: an agent- based
  perspective'
type: software
url: https://www.comses.net/codebases/28b3bd98-62f4-4d2e-85b2-cca3563bf98a/releases/1.0.0/
version: 1.0.0
