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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 …
A classification of community detection methods in social networks: a survey
The detection of community structures is a crucial research area. The problem of community
detection has received considerable attention from a large portion of the scientific …
detection has received considerable attention from a large portion of the scientific …
High-performance community detection in social networks using a deep transitive autoencoder
Y **e, X Wang, D Jiang, R Xu - Information Sciences, 2019 - Elsevier
Community structure is an important characteristic of complex networks. It determines where
important functions of a network are located. Recently, discovering community structure in …
important functions of a network are located. Recently, discovering community structure in …
Community hiding: Completely escape from community detection
Community detection algorithms play an important role in revealing and analyzing complex
network structures. However, when these algorithms are put into practice, privacy concerns …
network structures. However, when these algorithms are put into practice, privacy concerns …
Hiding ourselves from community detection through genetic algorithms
Community structure plays an important role in social networks, which can reveal potential
social relationships and deliver vast economic benefits to enterprises and organizations …
social relationships and deliver vast economic benefits to enterprises and organizations …
An investigation into face pose distributions
Visual perception of faces is invariant under many transformations, perhaps the most
problematic of which is pose change (face rotating in depth). We use a variation of Gabor …
problematic of which is pose change (face rotating in depth). We use a variation of Gabor …
[HTML][HTML] SELP: Semi-supervised evidential label propagation algorithm for graph data clustering
With the increasing size of social networks in the real world, community detection
approaches should be fast and accurate. The label propagation algorithm is known to be …
approaches should be fast and accurate. The label propagation algorithm is known to be …
Community hiding using a graph autoencoder
Community detection can reveal real social relations and enable great economic benefits for
enterprises and organizations; however, it can also cause privacy problems such as the …
enterprises and organizations; however, it can also cause privacy problems such as the …
Community detection based on local topological information and its application in power grid
Z Chen, Z **e, Q Zhang - Neurocomputing, 2015 - Elsevier
Community structure detection algorithm is employed in a vast amount of study to partition a
network into some loosely coupled sub-networks of smaller scale. It is an effective tool to …
network into some loosely coupled sub-networks of smaller scale. It is an effective tool to …
Belief-peaks clustering based on fuzzy label propagation
For unsupervised learning, we propose a new clustering method which incorporates belief
peaks into a linear label propagation strategy. The proposed method aims to reveal the data …
peaks into a linear label propagation strategy. The proposed method aims to reveal the data …