In the past years, network theory has successfully characterized the interaction among the
constituents of a variety of complex systems, ranging from biological to technological, and …

Recommender systems (RSs) are software tools and techniques that provide suggestions
for items that are most likely of interest to a particular user. In this introductory chapter, we …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

Recommender systems have developed in parallel with the web. They were initially based
on demographic, content-based and collaborative filtering. Currently, these systems are …

A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …

Real networks exhibit heterogeneous nature with nodes playing far different roles in
structure and function. To identify vital nodes is thus very significant, allowing us to control …

Link prediction finds missing links (in static networks) or predicts the likelihood of future links
(in dynamic networks). The latter definition is useful in network evolution (Wang et al., 2011; …

Artificial Intelligence (AI) has emerged as a cornerstone of modern computer science,
exerting a profound influence on diverse sectors of society. This article offers a …

The popularity of location-based social networks provide us with a new platform to
understand users' preferences based on their location histories. In this paper, we present a …

The science of science (SOS) is a rapidly develo** field which aims to understand,
quantify and predict scientific research and the resulting outcomes. The problem is …