Food recommendation systems aim to provide recommendations according to a user's diet,
recipes, and preferences. These systems are deemed useful for assisting users in changing …

Link prediction is amongst the most crucial tasks in network science and graph data
analytics. Given the snapshot of a network at a particular instance of time, the study of link …

Online social networks have become a consistent part of our day-to-day life. They virtually
connect people around the world and serve as ideal platforms for interactions, sharing of …

Link prediction is a widely studied topic in graph data analytics and finds numerous
applications like friend recommendations in social networks and product recommendations …

Recently, a new subject known as the Social Internet of Things (SIoT) has been presented
based on the integration the Internet of Things and social network concepts. SIoT is …

Over the last couple of decades, Social Networks have connected people on the web from
across the globe and have become a crucial part of our daily life. These networks have also …

Recently, a novel concept called the Social Internet of Things (SIoT) has emerged, which
combines the Internet of Things (IoT) and social networks. SIoT plays a significant role in …

The integration of social networks with the Internet of Things (IoT) has been explored in
recent research, giving rise to the Social Internet of Things (SIoT). One promising application …

Analyzing the important nodes of complex systems by complex network theory can
effectively solve the scientific bottlenecks in various aspects of these systems, and how to …

The detection of influential individuals in social networks is called influence maximization
which has many applications in advertising and marketing. Several factors including …