Science communication has diversified in the wake of the digital transformation of
communication and media ecosystems. Social media enable universities, but also …

Non-negative matrix factorization (NMF) is widely used in analyzing the community structure
of complex networks. However, most of the current related efforts only focus on the network …

Community detection is a critical component of network analysis and a hot topic in social
computing. Detecting community structure in dynamic networks has important theoretical …

A comprehensive bibliometric analysis using CiteSpace explores global scientific research
trends concerning internet pornography, loneliness, and social media addiction from 1993 to …

Community detection is a widely studied topic in network structure analysis. We propose a
community detection method based on the search for the local maxima of an objective …

One of the most recent studies on the analysis of complex systems is to understand the role
of community structure and centrality in analyzing the networks of complex systems such as …

Although genome wide association studies (GWAS) in large populations have identified
hundreds of variants associated with common diseases such as coronary artery disease …

Community detection plays a pivotal role in uncovering closely connected subgraphs, aiding
various real-world applications such as recommendation systems and anomaly detection …

A network is an aggregation of nodes joined by edges, representing entities and their
relationships. In social network clustering, nodes are organized into clusters according to …

The global proliferation of social media networks has sparked significant attention, with
platforms such as Facebook, Twitter, Telegram, and WhatsApp enabling widespread …