A modified weighted TOPSIS to identify influential nodes in complex networks
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- 作者：Jiantao Hua ; 1 ; Yuxian Dua ; 1 ; Hongming Mob ; Daijun Weic ; Yong Denga ; d ; ydeng@swu.edu.cn" class="auth_mail" title="E-mail the corresponding author ; prof.deng@hotmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Complex networks ; Influential nodes ; Weighted TOPSIS ; Centrality measures ; SIR model
- 刊名：Physica A: Statistical Mechanics and its Applications
- 出版年：2016
- 出版时间：15 February 2016
- 年：2016
- 卷：444
- 期：Complete
- 页码：73-85
- 全文大小：849 K
文摘
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A weighted TOPSIS method for ranking node’s spreading ability is proposed.
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To improve the original TOPSIS, a dynamically weighted algorithm is proposed.
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Experimental results indicate that our method outperforms the classical method.