| btw {ionet} | R Documentation |
Betweenness centrality
Description
Compute the betweenness centrality with auxiliary information based on strongest path (SP).
Usage
btw(adjmat, gross, aux, alpha = 1, type = "consumption")
Arguments
adjmat |
An n-by-n numerical matrix representing the matrix of intermediate transactions in the input-output table. |
gross |
An n-dimensional numerical vector representing the gross input/output. |
aux |
An n-dimensional numerical vector representing the node-specific auxiliary information. |
alpha |
A scalar (default = 1) between 0 and 1, representing the tuning parameter that controls the weights for SP strength and auxiliary information. |
type |
A character string specifying the type of SP to calculate. Available options:
|
Value
A list of betweeness score, associated SPs, SP distance and SP strength.
References
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.