Incorporating auxiliary information in betweenness measure for input–output networks
Published in Physica A: Statistical Mechanics and its Applications, 2022
In this paper, we proposed a novel betweenness measure incorporating auxiliary information in the computation. The proposed measure has a practical economic interpretation, and helps accurately identify key sectors of input-output netowrks, which provides insights for policy makers. The implementation of our mathod is publicly available in an R package ionet.
Recommended citation: Xiao, S., Yan, J. and Zhang, P. (2022). "Incorporating auxiliary information in betweenness measure for input–output networks." Physica A: Statistical Mechanics and its Applications, 607, 128200. https://doi.org/10.1016/j.physa.2022.128200