The document summarizes a research paper that proposed a link prediction model for citation networks. It applied support vector machines (SVMs) as the classifier and used 11 features optimized for citation networks across 5 academic fields. The model was able to better predict links compared to just using the classifier's performance metrics. However, the effective features varied by academic field, suggesting different models should be applied for different research areas.
The document summarizes a research paper that proposed a link prediction model for citation networks. It applied support vector machines (SVMs) as the classifier and used 11 features optimized for citation networks across 5 academic fields. The model was able to better predict links compared to just using the classifier's performance metrics. However, the effective features varied by academic field, suggesting different models should be applied for different research areas.