With the rapid growth of digital publishing, harvesting, managing, and analyzing scholarly
information have become increasingly challenging. The term Big Scholarly Data is coined …

Link recommendation has attracted significant attention from both industry practitioners and
academic researchers. In industry, link recommendation has become a standard and most …

Scholarly big data, which is a large-scale collection of academic information, technical data,
and collaboration relationships, has attracted increasing attentions, ranging from industries …

Link prediction in online social networks is used to determine new interactions among its
members which are likely to occur in the future. Link prediction in the co-authorship network …

Link prediction methods are frequently applied in recommender systems, eg, to suggest
citations for academic papers or friends in social networks. However, exposure bias can …

In academia, scientific research achievements would be inconceivable without academic
collaboration and cooperation among researchers. Previous studies have discovered that …

Recent academic procedures have depicted that work involving scientific research tends to
be more prolific through collaboration and cooperation among researchers and research …

The shift from 'trust-based funding'to 'performance-based funding'is one of the factors that
has forced institutions to strive for continuous improvement of performance. Several studies …

The huge number of machine learning (ML) methods has resulted in significant information
overload. Faced with an overwhelming number of ML methods, it is challenging to select …

Collaborator recommendation is of great significance for facilitating research collaboration.
Proximities have been demonstrated to be significant factors and determinants of research …