Multilayer patent citation networks: A comprehensive analytical framework for studying explicit technological relationships
2022
Article
pio
| Author(s): | Higham, Kyle and Contisciani, Martina and De Bacco, Caterina |
| Journal: | Technological Forecasting and Social Change |
| Volume: | 179 |
| Pages: | 121628 |
| Year: | 2022 |
| Department(s): | Physics for Inference and Optimization |
| Bibtex Type: | Article (article) |
| Paper Type: | Journal |
| DOI: | 10.1016/j.techfore.2022.121628 |
| State: | Published |
| URL: | https://doi.org/10.1016/j.techfore.2022.121628 |
| Links: |
Preprint
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BibTex @article{patent,
title = {Multilayer patent citation networks: A comprehensive analytical framework for studying explicit technological relationships},
author = {Higham, Kyle and Contisciani, Martina and De Bacco, Caterina},
journal = {Technological Forecasting and Social Change},
volume = {179},
pages = {121628},
year = {2022},
doi = {10.1016/j.techfore.2022.121628},
url = {https://doi.org/10.1016/j.techfore.2022.121628}
}
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