Online social networks (OSNs) have become an integral part of our daily lives, sha** the
way social relationships evolve. Influence maximization (IM) in OSNs has been widely …

The human-oriented applications aim to exploit behaviors of people, which impose
challenges on user modeling of integrating social network (SN) with knowledge graph (KG) …

Abstract Information diffusion in social networks is a classic and, at the same time, very
current problem. In fact, information diffusers are always looking for new techniques to …

In an Online Social Network (OSN), users can create a unique public persona by crafting a
user identity that may encompass profile details, content, and network-related information …

Summary Nowadays, Internet of Things, artificial intelligence, cloud computing, and other
revolutionary technologies (eg, edge and fog computing) have become the pillar of smart …

The task of network alignment is to obtain the node pairs which belong to the same entity
from different networks. Existing embedding-based network alignment methods either use …

Amidst the rapid propagation of images across social media platforms, the representation
learning of social images has emerged as a prime research pursuit. A salient characteristic …

Abstract In recent years, Graph Neural Networks (GNNs) have achieved excellent
applications in classification or prediction tasks. Recent studies have demonstrated that …

User identification across multiple social networks is an important task for cross-social
network recommendation, network security, and other related fields. Usernames belonging …

User alignment across online social network platforms (OSNPs) is a growing concern with
the rapid development of internet technology. In reality, users tend to register different …