Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Research and Realization of AP Clustering Algorithm Based on Cloud Computing

Authors
Qiang Yue, Zhongyu Hu, Xinhua Lei, Xiaoming Li
Corresponding Author
Qiang Yue
Available Online March 2016.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmct-16.2016.13How to use a DOI?
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  -