A comprehensive survey on community detection methods and applications in complex information networks
This paper extensively reviews the literature of community detection in complex networks
and proposes a general classification describing the main models used for this purpose …
and proposes a general classification describing the main models used for this purpose …
“Too small to shine? Not really!”: develo** Society 5.0 adaptation initiatives for SMEs
Society 5.0 is an extremely popular idea in current socioeconomic contexts. The transition
process of evolving into this superintelligent society envisioned by the Japanese …
process of evolving into this superintelligent society envisioned by the Japanese …
Relatively important nodes mining algorithm based on community detection and biased random walk with restart
As modern network communication technology rapidly develops in recent years, complex
networks have become a hot multidisciplinary research field. In this field, relatively important …
networks have become a hot multidisciplinary research field. In this field, relatively important …
Detecting communities in complex networks using triangles and modularity density
T Zhang, P Lu - Physica A: Statistical Mechanics and its Applications, 2023 - Elsevier
The community structure is an important property of complex networks. Community detection
of complex networks can be used to help reveal the relationship between topology and …
of complex networks can be used to help reveal the relationship between topology and …
[HTML][HTML] A user segmentation method in heterogeneous open innovation communities based on multilayer information fusion and attention mechanisms
M Daradkeh - Journal of Open Innovation: Technology, Market, and …, 2022 - Elsevier
The heterogeneity and diversity of users and external knowledge resources is a hallmark of
open innovation communities (OICs). Although user segmentation in heterogeneous OICs is …
open innovation communities (OICs). Although user segmentation in heterogeneous OICs is …
A new approach to finding overlap** community structure in signed networks based on Neutrosophic theory
One of the longstanding challenges in network science is the identification of overlap**
community structures. Real-world networks often exhibit a complex interplay of positive and …
community structures. Real-world networks often exhibit a complex interplay of positive and …
A novel approach for overlap** community detection in social networks based on the attraction
K Chi, H Qu, Z Fu - Journal of Computational Science, 2025 - Elsevier
The growing scale of networks makes the study of social networks increasingly difficult.
Overlap** community detection can both make the network easier to analyze and manage …
Overlap** community detection can both make the network easier to analyze and manage …
Detecting memberships in multiplex networks via nonnegative matrix factorization and tensor decomposition
F Tang, X Wang, X Zhao, C Wang - New Journal of Physics, 2025 - iopscience.iop.org
Multiplex networks provide a powerful data structure for capturing diverse relationships
among nodes, and the challenge of community detection within these networks has recently …
among nodes, and the challenge of community detection within these networks has recently …