ionet

The goal of ionet is to develop network functionalities specialized for the data generated from input-output tables.

Installation

You can install the development version of ionet from GitHub with:

# install.packages("devtools")
devtools::install_github("Carol-seven/ionet")

Function

btw(): betweenness centrality measure that incorporates available node-specific auxiliary information based on strongest path.

dijkstra(): implementation of the Dijkstra’s algorithm to find the shortest paths from the source node to all nodes in the given network.

Data | Input-Output Tables

Database	Economies	Years	Sectors
the National Bureau of Statistics of China	China	2002	122
		2005	42
		2007	135
		2010	41
		2012	139
		2015	42
		2017	149
		2017	42
		2018	153
		2018	42
		2020	153
		2020	42
OECD Input-Output Tables 2021 edition	China	1995–2018	45
OECD Input-Output Tables 2021 edition	Japan	1995–2018	45

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. DOI.