Networked systems present the correlative relation between entities, and the related
knowledge excavation problem has been greatly emphasized in the last decade. The …

Maximizing the influence of opinions is an emerging research topic in social networks.
Although the community is a key structure of social networks, little effort has been made to …

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

There has been a growing interest in analyzing the dynamics and characteristics of
networked systems, and the influence maximization problem is a recent hotspot to determine …

The joint order batching and picker routing problem (JOBPRP) is a combinatorial
optimization problem that occurs during in the order-picking operation of warehouse …

In our modern digital era, social networks have seamlessly integrated into the fabric of our
daily lives. These digital platforms serve as vital channels for communication, exchanging …

Robustness optimization in complex networks is a critical research area due to its
implications for the reliability and stability of various systems. However, existing algorithms …

While link redundancy has long been acknowledged as a critical factor in network
robustness, current approaches frequently neglect the inherent heterogeneity of structure …

Competitive opinion maximization (COM) aims to determine some individuals (ie, seed
nodes) from social networks, propagating the desired opinions toward a target entity to their …

Influence maximization (IM) is a critical aspect of complex network analysis, as it holds
considerable commercial value across various domains such as recommendation systems …