[WITHDRAWN] A New Algorithm of Detecting Community Structure Based on Clustering

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TI  - [WITHDRAWN] A New Algorithm of Detecting Community Structure Based on Clustering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