The influence maximization (IM) problem identifies the subset of influential users in the
network to provide solutions for real-world problems like outbreak detection, viral marketing …

Quantum social network analysis (QSNA) is a recent advancement in the interdisciplinary
field of quantum computing and social network analysis. This manuscript comprehensively …

Abstract In modern Online Social Networks (OSNs), the need to detect users' communities
based on their interests and social connections has became a more and more important …

Influence Maximization (IM) is an optimization problem in viral marketing to identify k most
influential users in social networks. IM problem, with large-scale data, faces many …

In the last decade, the detection of overlap** communities has received increasing
attention in network science. Among various clustering techniques, the fuzzy clustering has …

Community detection in social networks is an important field of research in data mining and
has an abundant literature. Time varying social networks require algorithms that can comply …

The method of overlap** community detection based on fuzzy clustering is sensitive to the
initialization of community centers, which easily traps in local optima and leads to node …

In recent years, most link prediction algorithms have focused on node similarity owing to the
associated low computational complexity and promising accuracy. In addition to the …

The flow of information through active users in online social networks (OSNs) plays a major
role in forming natural social groups, popularly known as communities. Although structural …

Community structure is one of the most important attributes of complex networks, which
reveals the hidden rules and behavior characteristics of complex networks. Existing works …