From social networks to brain connectivity, ego networks are a simple yet powerful approach
to visualizing parts of a larger graph, ie those related to a selected focal node—the so-called …

Constructing latent vector representation for nodes in a network through embedding models
has shown its practicality in many graph analysis applications, such as node classification …

Purpose Playing video gaming is one of the most popular forms of leisure activities. This
study looks into a specific video game genre, under the category of Multiplayer Online Battle …

As a decentralized training approach, horizontal federated learning (HFL) enables
distributed clients to collaboratively learn a machine learning model while kee** …

The privacy-preserving nature of Federated Learning (FL) exposes such a distributed
learning paradigm to the planting of backdoors with locally corrupted data. We discover that …

The metaverse has disrupted the traditional marketing practices and it has potential to
transform entire world of marketing activities with thrilling immersive experiences. This study …

Egocentric networks, often visualized as node-link diagrams, portray the complex
relationship (link) dynamics between an entity (node) and others. However, common …

Massively multiplayer online role-playing games create virtual communities that support
heterogeneous “social roles” determined by gameplay interaction behaviors under a specific …

Influence maximization (IM) algorithms play a significant role in hypergraph analysis tasks,
such as epidemic control analysis, viral marketing, and social influence analysis, and …

To ensure the playability of Multiplayer Online Battle Arena (MOBA) games, designers strive
to balance different game occurrences. Although machine learning (ML) can help classify …