ionet

Network Analysis for Input-Output Tables

https://github.com/carol-seven/ionet

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
    Found 5 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    1 of 2 committers (50.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.6%) to scientific vocabulary

Keywords

input-output-analysis network-analysis r
Last synced: 6 months ago · JSON representation

Repository

Network Analysis for Input-Output Tables

Basic Info
Statistics
  • Stars: 3
  • Watchers: 1
  • Forks: 1
  • Open Issues: 0
  • Releases: 4
Topics
input-output-analysis network-analysis r
Created almost 4 years ago · Last pushed about 2 years ago
Metadata Files
Readme License

README.md

ionet

CRAN_Status_Badge R-CMD-check DOI <!-- badges: end -->

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:

``` r

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.

Owner

  • Name: Shiying Xiao
  • Login: Carol-seven
  • Kind: user
  • Location: UTC+08:00
  • Company: SXUFE

GitHub Events

Total
Last Year

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 47
  • Total Committers: 2
  • Avg Commits per committer: 23.5
  • Development Distribution Score (DDS): 0.021
Past Year
  • Commits: 27
  • Committers: 2
  • Avg Commits per committer: 13.5
  • Development Distribution Score (DDS): 0.037
Top Committers
Name Email Commits
Carol-seven 5****5@q****m 46
Yelie-Yuan y****n@u****u 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: 1 day
  • Total issue authors: 0
  • Total pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.5
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
  • olivroy (2)
  • Yelie-Yuan (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 177 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: ionet

Network Analysis for Input-Output Tables

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 177 Last month
Rankings
Dependent packages count: 28.3%
Dependent repos count: 36.2%
Average: 49.8%
Downloads: 84.8%
Maintainers (1)
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 2.10 depends
  • Rcpp >= 1.0.8.3 imports
  • testthat >= 3.0.0 suggests
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