| Type: | Package |
| Title: | Network Analysis for Input-Output Tables |
| Version: | 0.2.2 |
| Maintainer: | Shiying Xiao <shiying.xiao@outlook.com> |
| Description: | Network functionalities specialized for data generated from input-output tables. |
| Depends: | R (≥ 2.10) |
| License: | GPL (≥ 3) |
| Encoding: | UTF-8 |
| LazyData: | true |
| Imports: | Rcpp (≥ 1.0.8.3) |
| LinkingTo: | Rcpp |
| URL: | https://github.com/Carol-seven/ionet |
| BugReports: | https://github.com/Carol-seven/ionet/issues |
| RoxygenNote: | 7.3.0 |
| Suggests: | testthat (≥ 3.0.0) |
| Config/testthat/edition: | 3 |
| NeedsCompilation: | yes |
| Packaged: | 2024-01-20 08:22:34 UTC; csxiao |
| Author: | Shiying Xiao 
[aut, cre],
Jun Yan [aut],
Panpan Zhang
[aut] |
| Repository: | CRAN |
| Date/Publication: | 2024-01-22 17:30:03 UTC |
Input-output tables of the OECD 2021 edition for China, 1995–2018, 45 sectors
Description
The national input-output tables of China for the period from 1995 to 2018, covering 45 sectors. Data are calculated in current prices. Values are denoted in millions of US dollars (USD).
Usage
data(OECD21ed_CHN_1995to2018)
Format
A list containing 24 data frames, each with 50 rows and 56 columns.
Source
Input-Output Tables (IOTs) 2021 ed. - OECD
Input-output tables of the OECD 2021 edition for Japan, 1995–2018, 45 sectors
Description
The national input-output tables of Japan for the period from 1995 to 2018, covering 45 sectors. Data are calculated in current prices. Values are denoted in millions of US dollars (USD).
Usage
data(OECD21ed_JPN_1995to2018)
Format
A list containing 24 data frames, each with 50 rows and 56 columns.
Source
Input-Output Tables (IOTs) 2021 ed. - OECD
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.
Input-output table for China, 2002, 122 sectors
Description
The national input-output table of China for 2002, covering 122 sectors. Data are calculated at producers' prices in 2002. Values are denoted in 10 thousand Chinese Yuan (CNY).
Usage
data(china_2002_122)
Format
A data frame with 129 rows and 139 columns.
Source
National Bureau of Statistics of China
Input-output table for China, 2005, 42 sectors
Description
The national input-output table of China for 2005, covering 42 sectors. Data are calculated at producers' prices in 2005. Values are denoted in 10 thousand Chinese Yuan (CNY).
Usage
data(china_2005_42)
Format
A data frame with 49 rows and 55 columns.
Source
National Bureau of Statistics of China
Input-output table for China, 2007, 135 sectors
Description
The national input-output table of China for 2007, covering 135 sectors. Data are calculated at producers' prices in 2007. Values are denoted in 10 thousand Chinese Yuan (CNY).
Usage
data(china_2007_135)
Format
A data frame with 142 rows and 152 columns.
Source
National Bureau of Statistics of China
Input-output table for China, 2010, 41 sectors
Description
The national input-output table of China for 2010, covering 41 sectors. Data are calculated at producers' prices in 2010. Values are denoted in 10 thousand Chinese Yuan (CNY).
Usage
data(china_2010_41)
Format
A data frame with 48 rows and 58 columns.
Source
National Bureau of Statistics of China
Input-output table for China, 2012, 139 sectors
Description
The national input-output table of China for 2012, covering 139 sectors. Data are calculated at producers' prices in 2012. Values are denoted in 10 thousand Chinese Yuan (CNY).
Usage
data(china_2012_139)
Format
A data frame with 146 rows and 155 columns.
Source
National Bureau of Statistics of China
Input-output table for China, 2015, 42 sectors
Description
The national input-output table of China for 2015, covering 42 sectors. Data are calculated at producers' prices in 2015. Values are denoted in 10 thousand Chinese Yuan (CNY).
Usage
data(china_2015_42)
Format
A data frame with 49 rows and 59 columns.
Source
National Bureau of Statistics of China
Input-output table for China, 2017, 149 sectors
Description
The national input-output table of China for 2017, covering 149 sectors. Data are calculated at producers' prices in 2017. Values are denoted in 10 thousand Chinese Yuan (CNY).
Usage
data(china_2017_149)
Format
A data frame with 156 rows and 165 columns.
Source
National Bureau of Statistics of China
Input-output table for China, 2017, 42 sectors
Description
The national input-output table of China for 2017, covering 42 sectors. Values are denoted in 10 thousand Chinese Yuan (CNY).
Usage
data(china_2017_42)
Format
A data frame with 91 rows and 53 columns.
Source
National Bureau of Statistics of China
Input-output table for China, 2018, 153 sectors
Description
The national input-output table of China for 2018, covering 153 sectors. Data are calculated at producers' prices in 2018. Values are denoted in 10 thousand Chinese Yuan (CNY).
Usage
data(china_2018_153)
Format
A data frame with 160 rows and 169 columns.
Source
National Bureau of Statistics of China
Input-output table for China, 2018, 42 sectors
Description
The national input-output table of China for 2018, covering 42 sectors. Values are denoted in 10 thousand Chinese Yuan (CNY).
Usage
data(china_2018_42)
Format
A data frame with 91 rows and 53 columns.
Source
National Bureau of Statistics of China
Input-output table for China, 2020, 153 sectors
Description
The national input-output table of China for 2020, covering 153 sectors. Data are calculated at producers' prices in 2020. Values are denoted in 10 thousand Chinese Yuan (CNY).
Usage
data(china_2020_153)
Format
A data frame with 160 rows and 169 columns.
Source
National Bureau of Statistics of China
Input-output table for China, 2020, 42 sectors
Description
The national input-output table of China for 2020, covering 42 sectors. Values are denoted in 10 thousand Chinese Yuan (CNY).
Usage
data(china_2020_42)
Format
A data frame with 91 rows and 53 columns.
Source
National Bureau of Statistics of China
Sectoral employment data for China, 1990-2018
Description
Number of employed persons (in the unit of 10 thousands) in China 1990-2018, by sector.
Usage
data(china_employment)
Format
A data frame with 115 rows and 32 columns.
References
Wang, Y., Jia, X. and Wang, C. (2021). Research on Sectoral Employment Accounting of China. Statistical Research, 38(12), 3–18. URL
Dijkstra's algorithm
Description
Implement the Dijkstra's algorithm to find the shortest paths from the source node to all nodes in the given network.
Usage
dijkstra(adjmat, src)
Arguments
adjmat |
The adjacency matrix of a directed, weighted network. |
src |
An integer specifying the given source node to find the shortest distance. |
Value
A list of distance and previous node.
References
Dijkstra, E. W. (1959). A Note on Two Problems in Connexion with Graphs. Numerische Mathematik, 1, 269–271.