Research and Realization of AP Clustering Algorithm Based on Cloud Computing
Qiang Yue, Zhongyu Hu, Xinhua Lei, Xiaoming Li
Available Online March 2016.
- https://doi.org/10.2991/icmmct-16.2016.13How to use a DOI?
- cloud computing; Hadoop; MapReduce; AP clustering algorithm; community structure
- With the extensive application of network, massive growth in the scale of data through cloud computing has been observed. Cloud computing is a powerful technology to perform complex computing, and applications running on cloud computing with Hadoop architecture are increasing. In this paper, after studying the AP clustering algorithm, we proposed the AP clustering algorithm based on MapReduce model and realized the parallelizing AP clustering algorithm in the cloud computing platform of Hadoop. We tested the parallelizing AP clustering algorithm by using two real-word networks. The experimental results show the capability of our algorithm successfully to detect community structure in complex networks.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Qiang Yue AU - Zhongyu Hu AU - Xinhua Lei AU - Xiaoming Li PY - 2016/03 DA - 2016/03 TI - Research and Realization of AP Clustering Algorithm Based on Cloud Computing BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology PB - Atlantis Press SP - 65 EP - 69 SN - 2352-5401 UR - https://doi.org/10.2991/icmmct-16.2016.13 DO - https://doi.org/10.2991/icmmct-16.2016.13 ID - Yue2016/03 ER -