Importance Evaluation of Power Communication Network Node Based on FCM Clustering

DOI

10.2991/amms-17.2017.86How to use a DOI?

Keywords

power communication network; node importance; fuzzy clustering

Abstract

The node importance evaluation of network is of great significance for the improvement of power communication network's reliability. At present, the indexes used in the node importance evaluation in power communication networks are usually one - sided. Dealing with this, this paper presents a multi-index based node importance evaluation method. In this method, degree centrality, betweenness centrality and eigenvector centrality are employed as indexes, and fuzzy clustering method is adopted to classify network nodes, to finally obtain the set of important nodes. The method can be applied to the evaluation of node importance in power communication network. The experiment reflects the effectiveness of the method.

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  - Qiao Xue
AU  - Huixia Ding
AU  - Xiangzhou Chen
PY  - 2017/11
DA  - 2017/11
TI  - Importance Evaluation of Power Communication Network Node Based on FCM Clustering
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 387
EP  - 390
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.86
DO  - 10.2991/amms-17.2017.86
ID  - Xue2017/11
ER  -