Community detection in complex networks is widely used across fields, from sociology to
biology. Despite its broad applications, there has been limited exploration of real-world …

Complex systems intricately intertwine with life, and the identification of the most influential
spreaders in complex networks can aid in resolving numerous pragmatic problems …

Identifying influential nodes is crucial in network science for controlling diseases, sharing
information, and viral marketing. Current methods for finding vital spreaders have problems …

The flow of essential elements such as people, goods, and information through complex
networks has become a critical factor in shaping urban dynamics and regional development …

Biotic stresses, such as plant viruses, eg, cotton leaf curl virus (CLCuV), can alter root-
associated and leaf-associated microbial diversities in plants. There are complex ecological …

Community structure is essential for topological analysis, function study, and pattern
detection in complex networks. As establishing community structure in a dynamic network is …

Finding the most influential nodes in complex networks is a significant challenge with
applications in various fields, including social networks, biology, and transportation systems …

This article introduces a novel vulnerability measure, based on the structure of complex
network communities, to assess the significance and security of network communities …

Background Accumulating neuroimaging evidence indicates that patients with cervical
dystonia (CD) have changes in the cortico-subcortical white matter (WM) bundle. However …

Identifying influential nodes in complex networks is a crucial problem in network analysis
with broad applications in various fields such as bioinformatics, social engineering, and …