Feb 28, 2017 · In this paper, we use the H-index which is an advanced method to measure the importance of a paper and to enhance three classical link ...
In this paper, we use the H-index which is an advanced method to measure the importance of a paper and to enhance three classical link prediction methods.
We propose two h-index-based link prediction methods. Experiments conducted on real citation networks demonstrate that the use of h-type index to measure the ...
Experiments conducted on real citation networks demonstrate that the use of h-type index to measure the importance of nodes in citation networks can ...
This issue restricts the performance of the link prediction methods applied to citation networks. The current study analyzed h-type indices, which are more ...
Oct 15, 2018 · Link prediction is useful for mining information in citation networks, and most of the existing related studies commonly use degree rather than ...
This issue restricts the performance of the link prediction methods applied to citation networks. The current study analyzed h-type indices, which are more ...
Dec 2, 2023 · In this letter, we uncover that synthesizing degree and H-index as the hybrid influences of endpoints can more reliably capture such endpoints ...
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Article "Improve the Performance of Link Prediction Methods in Citation Network by Using H-Index" Detailed information of the J-GLOBAL is an information ...
Therefore, we propose a link prediction approach that combines time, keywords, and authors' information and optimizes the existing paper citation network.