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 …

Complex networks have emerged as a simple yet powerful framework to represent and
analyze a wide range of complex systems. The problem of ranking the nodes and the edges …

Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

Identifying influential nodes in complex networks has attracted much attention because of its
great theoretical significance and wide application. Existing methods consider the edges …

In this paper, we introduce a pioneering approach titled Identifying Perceptive Users based
on Graph Convolutional Networks (IPGCN), tailored specifically for user-object bipartite …

With the increasing popularity of Internet-related techniques, decision-making problems with
large-scale alternatives from multiple online platforms, such as consumer choice decisions …

Reputation is a valuable asset in online social lives and it has drawn increased attention.
Due to the existence of noisy ratings and spamming attacks, how to evaluate user reputation …

The ranking problem has attracted much attention in real systems. How to design a robust
ranking method is especially significant for online rating systems under the threat of …

A variety of rating-based recommendation methods have been extensively studied including
the well-known collaborative filtering approaches and some network diffusion-based …

Measuring centrality has recently attracted increasing attention, with algorithms ranging from
those that simply calculate the number of immediate neighbors and the shortest paths to …