Measuring the diffusion of an innovation: A citation analysis

Yujia Zhai, Ying Ding, Wang Fang · 2017 · Journal of the Association for Information Science and Technology

Summary. This paper develops a method for tracking how innovations spread across research fields using citation analysis and topic modeling. The authors identify five stages of innovation diffusion: testing, implementation, improvement, extending, and fading. They demonstrate that when innovations like Latent Dirichlet Allocation move between research areas, adoption patterns cluster among fields with similar interests, revealing how interdisciplinary knowledge transfer actually occurs.

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Zhai, Y., Ding, Y., & Fang, W.. (2017). Measuring the diffusion of an innovation: A citation analysis. Journal of the Association for Information Science and Technology. https://doi.org/10.1002/asi.23898

@article{zhai-2017-measuring-diffusion-innovation-citation-analysis,
  title   = {Measuring the diffusion of an innovation: A citation analysis},
  author  = {Yujia Zhai and Ying Ding and Wang Fang},
  journal = {Journal of the Association for Information Science and Technology},
  year    = {2017},
  doi     = {10.1002/asi.23898},
  url     = {https://doi.org/10.1002/asi.23898}
}

TY  - JOUR
TI  - Measuring the diffusion of an innovation: A citation analysis
AU  - Yujia Zhai
AU  - Ying Ding
AU  - Wang Fang
JO  - Journal of the Association for Information Science and Technology
PY  - 2017
DO  - 10.1002/asi.23898
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Details

DOI: 10.1002/asi.23898
Countries: China, United States
Regions: Asia, North America
Categories: innovation-theory, innovation-networks, general-innovation
Added: 2026-04-28