Description Usage Arguments Details Value Examples
View source: R/collaboration.R
Calculate Internationally Collaborated Matrix(es)
1 | international_colmat(affiliations, pub_years = NULL, countries = NULL)
|
affiliations |
A text vector containing affiliation (country) information |
pub_years |
A numeric vector containing publication years |
countries |
A list of countries (optional) |
It finds the collaboration network at internationla level in terms of adjacent matrix so affiliation fields must have country information
Collaboration adjacent matrix(es)
1 2 3 4 5 6 7 8 9 10 11 | affiliations<-c("Stanford University, Stanford, CA, United States; Montreal, QC, Canada",
"Stanford University, United States; Google Inc., United States",
"University of Michigan, Ann Arbor, MI 48109-2122, United States;
Tsinghua University, Beijing 100084, China",
"Imperial College London, London, SW7 2BZ, United Kingdom;
ENSTA, Ecole Polytechnique, Palaiseau, 91761, France")
pub_years<-c(2012,2012,2013,2014)
international_colmat( affiliations, pub_years)
international_colmat(affiliations)
|
$years
[1] 2012 2013 2014
$total_instances
[1] 2 1 1
$ic_adjacent_matrix
$ic_adjacent_matrix[[1]]
United States Canada
United States 0 1
Canada 1 0
$ic_adjacent_matrix[[2]]
United States China
United States 0 1
China 1 0
$ic_adjacent_matrix[[3]]
United Kingdom France
United Kingdom 0 1
France 1 0
$total_instances
[1] 4
$ic_adjacent_matrix
United States China United Kingdom France Canada
United States 0 1 0 0 1
China 1 0 0 0 0
United Kingdom 0 0 0 1 0
France 0 0 1 0 0
Canada 1 0 0 0 0
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