Author
Listed:
- Jinfang Sheng
(School of Computer Science and Engineering, Central South University, Changsha, Hunan, P. R. China)
- Kai Wang
(School of Computer Science and Engineering, Central South University, Changsha, Hunan, P. R. China)
- Zejun Sun
(School of Computer Science and Engineering, Central South University, Changsha, Hunan, P. R. China†Department of Network Center, Pingdingshan University, Pingdingshan, Henan, P. R. China)
- Jie Hu
(School of Computer Science and Engineering, Central South University, Changsha, Hunan, P. R. China)
- Bin Wang
(School of Computer Science and Engineering, Central South University, Changsha, Hunan, P. R. China)
- Aman Ullah
(School of Computer Science and Engineering, Central South University, Changsha, Hunan, P. R. China)
Abstract
In recent years, community detection has gradually become a hot topic in the complex network data mining field. The research of community detection is helpful not only to understand network topology structure but also to explore network hiding function. In this paper, we improve FluidC which is a novel community detection algorithm based on fluid propagation, by ameliorating the quality of seed set based on positive feedback and determining the node update order. We first summarize the shortcomings of FluidC and analyze the reasons result in these drawbacks. Then, we took some effective measures to overcome them and proposed an efficient community detection algorithm, called FluidC+. Finally, experiments on the generated network and real-world network show that our method not only greatly improves the performance of the original algorithm FluidC but also is better than many state-of-the-art algorithms, especially in the performance on real-world network with ground truth.
Suggested Citation
Jinfang Sheng & Kai Wang & Zejun Sun & Jie Hu & Bin Wang & Aman Ullah, 2019.
"FluidC+: A novel community detection algorithm based on fluid propagation,"
International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 30(04), pages 1-17, April.
Handle:
RePEc:wsi:ijmpcx:v:30:y:2019:i:04:n:s0129183119500219
DOI: 10.1142/S0129183119500219
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