README.md

In Saraghanadian/SNAinSCM: SNA metrics for supply chains

SNAinSCM

This package offers an approach for the determination of social network analysis metrics (SNA) in the supply chain. SNA metrics including degree centrality, strength centrality, and reducing factor are provided to be used in the supply chain network design.

Functions in the package allows to:

• Execute the calculation of metrics based on weighted assignment matrix;
• Analyze the obtained results of the supply chain networks;
• Plot bar charts for all metrics

A complete description of all features and interpretation can be found at the link:

Installation

You can install SNAinSCM from github with:

install.packages("SNAinSCM")
devtools::install_github("Saraghanadian/SNAinSCM")

Example with the SNA metrics

``` r library(SNAinSCM)

Load data ---------------------------------------------------------------------------------

data("assignment") head(assignment)

From To Value

1 1 1 0

2 1 2 0

3 1 3 0

4 1 4 0

5 1 5 0

6 1 6 0

Define out-degree centrality, out-strength, R-disperse -----------------------------------------------------------------

My_data <- assignment out_degree(my_data)

Facility degree_centrality

8 9

19 8

26 3

33 17

34 5

35 1

40 1

41 2

43 1

63 3

out_strength(my_data) Facility strenght_centrality

8 64231

19 99017

26 40871

33 147407

34 1185395

35 569499

40 569499

41 602032

43 569499

63 1168344

R_disperse(my_data)

Facility R_disperse

8 0.7654

19 0.6583

26 0.5264

33 0.7221

34 0.4341

35 NA

40 NA

41 0.5540

43 NA

63 0.6917

Saraghanadian/SNAinSCM documentation built on March 12, 2020, 1:27 a.m.