It is indispensable to understand where the development of the Environmental-Social-
Governance (further-ESG) concept is moving. People need to know where to develop in the …

Link prediction aims to anticipate the probability of a future connection between two nodes in
a given network based on their previous interactions and the network structure. Link …

The analysis of online social networks (OSNs) using graph theory is performed with the aim
of extracting knowledge embedded in these networks. Link prediction (LP) problem is an …

Link prediction is one of the most important methods to uncover evolving mechanisms of
dynamic complex networks. Determining these links raises well-known technical challenges …

The rapid growth in popularity of online social networks provides new opportunities in
computer science, sociology, math, information studies, biology, business, and more. Social …

For a healthy industrial structure (IS) and stable economic development in China, this study
proposes an improved link prediction algorithm (LP) based on complex networks. The …

With the development of the Internet, smart campus education and online social platforms
have become the mainstream of establishing social relationships. Although many users …

Link prediction determines if there is an edge between two unconnected nodes in a complex
network using known information, such as network topology and/or node semantic attributes …

Recent years have witnessed the release of many open-source and enterprise-driven
knowledge graphs with a dramatic increase of applications of knowledge representation and …

Link prediction within social networks represents a notable research area. Leveraging
semantic text and multidimensional user interaction features, this paper introduces a …