Response to Comment on “Quantifying long-term scientific impact”

Wang, Mei, and Hicks claim that they observed large mean prediction errors when using our model. We find that their claims are a simple consequence of overfitting, which can be avoided by standard regularization methods. Here, we show that our model provides an effective means to identify papers tha...

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Bibliographic Details
Published in:Science (American Association for the Advancement of Science) 2014-07, Vol.345 (6193), p.149-149
Main Authors: Wang, Dashun, Song, Chaoming, Shen, Hua-Wei, Barabási, Albert-László
Format: Article
Language:English
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Summary:Wang, Mei, and Hicks claim that they observed large mean prediction errors when using our model. We find that their claims are a simple consequence of overfitting, which can be avoided by standard regularization methods. Here, we show that our model provides an effective means to identify papers that may be subject to overfitting, and the model, with or without prior treatment, outperforms the proposed naïve approach.
ISSN:0036-8075
1095-9203
DOI:10.1126/science.1248961