Node Importance Identification for Temporal Network Based on Ranking Aggregation [基于排名聚合的时序网络节点重要性研究]

作者：Liang Y.-Z.; Guo Q.; Yin R.-R.; Yang J.-N.; Liu J.-G.^*

来源：Journal of the University of Electronic Science and Technology of China, 2020, 49(4): 519-523.

DOI：10.12178/1001-0548.2019087

• Node importance
• Ranking aggregation
• Score matrix
• Theory temporal network

At present, the research on the importance of temporal network nodes is mainly carried out from the aspects of timing path, connectivity, network efficiency and so on. In this paper, we consider the inter-layer connection and inter-layer coupling, introduce the ranking aggregation theory based on scoring matrix, and propose a method based on ranking aggregation to identify the importance of nodes in temporal networks. Manufacturing and Enrons datasets show that the average increase of Spearman correlation coefficient based on ranking aggregation is 2.41% and 18.63%, which shows the applicability and effectiveness of this method in the measurement of node importance in temporal network. ? 2020, Editorial Board of Journal of the University of Electronic Science and Technology of China. All right reserved.

• 单位
  上海财经大学