Community detection with the label propagation algorithm: a survey
Community detection aims at discovering the structure, behavior, dynamics, and
organization of a complex network by finding cohesive groups where nodes (entities) are, in …
organization of a complex network by finding cohesive groups where nodes (entities) are, in …
LICOD: A Leader-driven algorithm for community detection in complex networks
Leader-driven community detection algorithms (LdCD hereafter) constitute a new trend in
devising algorithms for community detection in large-scale complex networks. The basic …
devising algorithms for community detection in large-scale complex networks. The basic …
A local seed selection algorithm for overlap** community detection
One of the widely studied structural properties of social and information networks is their
community structure, and a vast variety of community detection algorithms have been …
community structure, and a vast variety of community detection algorithms have been …
H-Louvain: Hierarchical Louvain-based community detection in social media data streams
The rise of online social networks has fundamentally transformed the traditional way of
social interaction and information dissemination, leading to a growing interest in precise …
social interaction and information dissemination, leading to a growing interest in precise …
[หนังสือ][B] Advances in network clustering and blockmodeling
P Doreian, V Batagelj, A Ferligoj - 2020 - books.google.com
Provides an overview of the developments and advances in the field of network clustering
and blockmodeling over the last 10 years This book offers an integrated treatment of network …
and blockmodeling over the last 10 years This book offers an integrated treatment of network …
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs
S He, J Zhuang, D Wang, L Peng, J Song - ar** community detection in complex networks
J Ma, J Fan - IEEE Access, 2019 - ieeexplore.ieee.org
Detecting communities in complex networks has been one of the most popular research
areas in recent years. There have been many community detection algorithms proposed to …
areas in recent years. There have been many community detection algorithms proposed to …
[HTML][HTML] Distributed community detection in dynamic graphs
Inspired by the increasing interest in self-organizing social opportunistic networks, we
investigate the problem of distributed detection of unknown communities in dynamic random …
investigate the problem of distributed detection of unknown communities in dynamic random …
GSL-LPA: fast label propagation algorithm (LPA) for community detection with no internally-disconnected communities
S Sahu - arxiv preprint arxiv:2403.01261, 2024 - arxiv.org
Community detection is the problem of identifying tightly connected clusters of nodes within
a network. Efficient parallel algorithms for this play a crucial role in various applications …
a network. Efficient parallel algorithms for this play a crucial role in various applications …