Due to the continuous emergence of various social and trade networks, network influence
analysis has aroused great interest of the researchers. Based on different influence …

Abstract The study of Online Social Networks offers growing opportunities to examine a
number of aspects of the real world and to better understand how human society works at …

Heterogeneous networks, like social and academic networks are widespread in the real
world, characterized by diverse nodes and complex relationships. Influence maximization is …

Selecting influential users in a network is essential to spread information quickly. Identifying
influential users is very useful for viral marketing and brand communication. Influence …

GNNs, like other deep learning models, are data and computation hungry. There is a
pressing need to scale training of GNNs on large datasets to enable their usage on low …

This article delves into the analysis and identification of influential individuals within social
networks, a fundamental issue in the realm of social network science and complex network …

The influence maximization problem is discovering a seed set of nodes in a social network
and making the spread as large as possible based on influence propagation. The current …

Influence dissemination research is a key issue in information dissemination in social
networks. Due to the practical significance of influence analysis in marketing, advertising …

Verification is the only way to make sure if a node is influenced or not because of the
uncertainty of information diffusion in the temporal contact network. In the previous methods …