GA-Net: A Genetic Algorithm for Community Detection in Social Networks

By Clara Pizzuti. Parallel Problem Solving from Nature, 2008

505 citations recorded by the source corpus.

Subfields: Molecular Biology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/f84752d5d9b145858fa93ffe3744b16b92d29154

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Philip S. Yu
2. Maoguo Gong
3. Qing Cai
4. Cécile Paris
5. Jia Wu
6. Surya Nepal
7. Quan Z. Sheng
8. Clara Pizzuti

In Statistical and Nonlinear Physics

1. Maoguo Gong
2. Qing Cai
3. Xiaowei Chen
4. Lijia Ma
5. Philip S. Yu
6. Cécile Paris
7. Jia Wu
8. Surya Nepal

Citations in the corpus

• A Multiobjective Genetic Algorithm to Find Communities in Complex Networks (2012, methodology): “A quality measure of a community S that maximizes the indegree of the nodes belonging to S has been introduced in [44].”
• Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition (2014, background): “Lancichinetti et al. [51] have introduced the concept of community fitness (CF) and Pizzuti [7] has put forward the community score (CS) criteria to stop the division of the network.”
• A Comprehensive Survey on Community Detection With Deep Learning (2021, methodology): “For example, by detecting communities in social networks [22]– [24], as shown in Fig.”