A unified semi-supervised community detection framework using latent space graph regularization
Community structure is one of the most important properties of complex networks and is a
foundational concept in exploring and understanding networks. In real world, topology …
foundational concept in exploring and understanding networks. In real world, topology …
Community detection based on differential evolution using modularity density
Currently, many community detection methods are proposed in the network science field.
However, most contemporary methods only employ modularity to detect communities, which …
However, most contemporary methods only employ modularity to detect communities, which …
A community detection algorithm using differential evolution
H Sun, S Ma, Z Wang - 2017 3rd IEEE international conference …, 2017 - ieeexplore.ieee.org
Evolution algorithm (EA) is an attractive way for community detection (CD) on complex
networks since it does not require any prior knowledge about the community structure, which …
networks since it does not require any prior knowledge about the community structure, which …
Edge representation learning for community detection in large scale information networks
It is found that networks in real world divide naturally into communities or modules. Many
community detection algorithms have been developed to uncover the community structure in …
community detection algorithms have been developed to uncover the community structure in …
Semi-supervised community detection via constraint matrix construction and active node selection
S Zhang, J Wu, J Li, J Gu, X Tang, X Xu - IEEE Access, 2019 - ieeexplore.ieee.org
Identification of community structures is essential for characterizing and analyzing complex
networks. Having focusing primarily on network topological structures, most existing …
networks. Having focusing primarily on network topological structures, most existing …
[PDF][PDF] Estudo comparativo de métricas de ranqueamento em redes complexas utilizando coeficientes de correlaçao
A classificaçao e o ranqueamento de vértices é um tema muito estudado em redes
complexas. Existem na literatura diversas métricas utilizadas na classificaçao de vértices …
complexas. Existem na literatura diversas métricas utilizadas na classificaçao de vértices …
Self-adaptive differential evolution for community detection
C Pizzuti, A Socievole - 2019 Sixth International Conference on …, 2019 - ieeexplore.ieee.org
The detection of community structure in complex networks is an important problem deeply
investigated in the last years. In fact, the awareness of network organization allows a better …
investigated in the last years. In fact, the awareness of network organization allows a better …