Research and Realization of AP Clustering Algorithm Based on Cloud Computing

DOI

10.2991/icmmct-16.2016.13How to use a DOI?

Keywords

cloud computing; Hadoop; MapReduce; AP clustering algorithm; community structure

Abstract

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/icmmct-16.2016.13
ID  - Yue2016/03
ER  -