4.7 Article

GMM: A generalized mechanics model for identifying the importance of nodes in complex networks

期刊

KNOWLEDGE-BASED SYSTEMS
卷 193, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.knosys.2019.105464

关键词

Influential nodes; Complex networks; Gravity model

资金

  1. National Natural Science Foundation of China [U1803263]
  2. Key Area RAMP
  3. D Program of Guangdong Province [2019B010137004]
  4. Fundamental Research Funds for the Central Universities [3102019PJ006]
  5. Shanxi Natural Science Foundation-Key Program [2019ZDLGY17-07]

向作者/读者索取更多资源

How to assess the importance of nodes in the network is an open question. There are many ways to identify the importance of nodes in complex networks. However, these methods have their own shortcomings and advantages. In particular, some methods based on the importance of nodes between interactions between nodes have been proposed. These methods utilize local information or path information. How to combine local and global information is still a problem. In this paper, a generalized mechanical model is proposed that uses global information and local information. To verify the effectiveness of the method, some experiments were performed on a total of ten real networks. In particular, an innovative experimental network-based quality assessment was proposed to validate the method of identifying the importance of nodes. (c) 2020 Elsevier B.V. All rights reserved.

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