The advent of large-scale datasets that trace the workings of science has encouraged
researchers from many different disciplinary backgrounds to turn scientific methods into …

In the fast-growing scholarly big data background, social network technologies have recently
aroused widespread attention in academia and industry. The concept of academic social …

Graphs are widely used as a popular representation of the network structure of connected
data. Graph data can be found in a broad spectrum of application domains such as social …

Blockchain appears to still be nascent in its growth and a relatively untapped asset. This
research investigates the need of blockchain in Industry 4.0 environment from Big Data …

Globally, the recommendation services have become important due to the fact that they
support e-commerce applications and different research communities. Recommender …

The field of artificial intelligence (AI) has shown an upward trend of growth in the 21st
century (from 2000 to 2015). The evolution in AI has advanced the development of human …

Big data (BD) analytics is one of the critical components in the digitalization of the oil and
gas (O&G) industry. Its focus is managing and processing a high volume of data to improve …

The rapid and impromptu interest in the coupling of machine learning (ML) algorithms with
wearable and contactless sensors aimed at tackling real‐world problems warrants a …

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

Citation prediction of scholarly papers is of great significance in guiding funding allocations,
recruitment decisions, and rewards. However, little is known about how citation patterns …