| Issue |
ITM Web Conf.
Volume 7, 2016
3rd Annual International Conference on Information Technology and Applications (ITA 2016)
|
|
|---|---|---|
| Article Number | 05003 | |
| Number of page(s) | 5 | |
| Section | Session 5: Algorithms and Simulation | |
| DOI | https://doi.org/10.1051/itmconf/20160705003 | |
| Published online | 21 November 2016 | |
An Improved Particle Swarm Optimization Algorithm and Its Application in the Community Division
School of Computer Science and Engineering, Southeast University, Nanjing, 211189, China
a e-mail: hjiang@seu.edu.cn
b e-mail: dtzly888@163.com
With the deepening of the research on complex networks, the method of detecting and classifying social network is springing up. In this essay, the basic particle swarm algorithm is improved based on the GN algorithm. Modularity is taken as a measure of community division [1]. In view of the dynamic network community division, scrolling calculation method is put forward. Experiments show that using the improved particle swarm optimization algorithm can improve the accuracy of the community division and can also get higher value of the modularity in the dynamic community
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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