Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering

An Improved Community Detection Method in Massive Social Networks

Authors
Yong Yao, Bian Li, Lei Peng, Zhijing Liu
Corresponding Author
Yong Yao
Available Online April 2015.
DOI
https://doi.org/10.2991/amcce-15.2015.124How to use a DOI?
Keywords
community detection; the recursive shingling algorithm; ELDN
Abstract
Community detection is one of the most important tools to analyze social network. The paper studies a community detection algorithm to find a dense community in massive social networks, the recursive shingling algorithm. Then an improved method based on the recursive shingling algorithm is proposed as ELDN, and we have proved that the improved algorithm is better than the recursive shingling algorithm through experiment.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Automation, Mechanical Control and Computational Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-64-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/amcce-15.2015.124How 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  - Yong Yao
AU  - Bian Li
AU  - Lei Peng
AU  - Zhijing Liu
PY  - 2015/04
DA  - 2015/04
TI  - An Improved Community Detection Method in Massive Social Networks
BT  - 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 1365
EP  - 1370
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.124
DO  - https://doi.org/10.2991/amcce-15.2015.124
ID  - Yao2015/04
ER  -