Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)

[WITHDRAWN] A New Algorithm of Detecting Community Structure Based on Clustering

Authors
Pengli Lu, Chaohui Gou
Corresponding Author
Pengli Lu
Available Online February 2017.
DOI
10.2991/emcm-16.2017.59How to use a DOI?
Keywords
Complex network; Community structure; Clustering algorithm; Node intimacy
Abstract

The node intimacy based on information centrality which Fortunato proposed is established, the node intimacy matrix of the network is also established, and the idea of clustering the intimacy matrix of nodes is chosen in this paper. Thus, a new algorithm of detecting community structure based on clustering is formed. Because the clustering algorithm is sensitive to the initial value selection, the initial value will require some rules to avoid selection problems. Finally, the feasibility of the proposed algorithm is verified by Karate Club Zachary and College Football Network classical model.

Copyright
© 2017, 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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Volume Title
Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
Series
Advances in Computer Science Research
Publication Date
February 2017
ISBN
10.2991/emcm-16.2017.59
ISSN
2352-538X
DOI
10.2991/emcm-16.2017.59How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Pengli Lu
AU  - Chaohui Gou
PY  - 2017/02
DA  - 2017/02
TI  - [WITHDRAWN] A New Algorithm of Detecting Community Structure Based on Clustering
BT  - Proceedings of the 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcm-16.2017.59
DO  - 10.2991/emcm-16.2017.59
ID  - Lu2017/02
ER  -