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Patent citations and value: through the lens of a social network approach

Feng Zhang et al.

International Journal of Management and Network Economics2018https://doi.org/10.1504/ijmne.2018.095118article
ABDC C
Weight
0.34

What the paper says

Identifying valuable technological inventions in a timely manner for further development and commercialisation has important strategic implications for organisations to maximise social welfare and return on investments. Building upon the advantages that social network approach can predict performance in short investigation periods, this study develops a conceptual and novel framework to predict patent value through analysing patent citations network structural indicators. Our proposed approach helps alleviate truncation problems suffered by existing patent evaluation methods. Testable propositions are also offered. This study contributes to patent economics literature and research fields that would benefit from a more accurate measure of valuable technological inventions. The proposed approach also has practical and commercial values to research institutes and industrial firms.

2 citations

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https://doi.org/https://doi.org/10.1504/ijmne.2018.095118

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@article{feng2018,
  title        = {{Patent citations and value: through the lens of a social network approach}},
  author       = {Feng Zhang et al.},
  journal      = {International Journal of Management and Network Economics},
  year         = {2018},
  doi          = {https://doi.org/https://doi.org/10.1504/ijmne.2018.095118},
}

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Patent citations and value: through the lens of a social network approach

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Evidence weight

0.34

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.