New highlights and a new centrality measure based on the Adapted PageRank Algorithm for urban networks

作者：

Highlights：

• A centrality measure, with a practical application in urban network, has been proposed.

• The measure establishes a ranking of nodes focused on the topological data distribution.

• The amount of data associated with the nodes of the network has a great importance.

• The topology of the network and the information associated to the nodes are involved.

摘要

•A centrality measure, with a practical application in urban network, has been proposed.•The measure establishes a ranking of nodes focused on the topological data distribution.•The amount of data associated with the nodes of the network has a great importance.•The topology of the network and the information associated to the nodes are involved.

论文关键词：Adapted PageRank Algorithm,PageRank vector,Networks centrality,Eigenvector centrality,Urban networks

论文评审过程：Received 12 January 2016, Revised 9 March 2016, Accepted 20 June 2016, Available online 5 July 2016, Version of Record 5 July 2016.

论文官网地址：https://doi.org/10.1016/j.amc.2016.06.036