The node importance in actual complex networks based on a multi-attribute ranking method

作者：

Highlights：

• A new indicator is put forward on the basis of K-shell decomposition.

• A multi-attribute ranking method is proposed by combining Relative Entropy and TOPSIS.

• Our proposed method outperforms other methods in comparative experiments.

摘要

•A new indicator is put forward on the basis of K-shell decomposition.•A multi-attribute ranking method is proposed by combining Relative Entropy and TOPSIS.•Our proposed method outperforms other methods in comparative experiments.

论文关键词：Complex network,Improved K-shell,Node importance,Multi-attribute ranking method

论文评审过程：Received 18 September 2014, Revised 23 March 2015, Accepted 28 March 2015, Available online 3 April 2015, Version of Record 13 May 2015.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.03.026