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README

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:

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 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.

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