ease_recombination: Compute the ease of recombination of a given technological...

In EconGeo: Computing Key Indicators of the Spatial Distribution of Economic Activities

Compute the ease of recombination of a given technological class

Description

This function computes the ease of recombination of a given technological class from technological classes - patents (incidence) matrices

Usage

ease_recombination(mat, sparse = FALSE, list = FALSE)

Arguments

mat	A bipartite adjacency matrix (can be a sparse matrix)
sparse	Logical; is the input matrix a sparse matrix? Defaults to FALSE, but can be set to TRUE if the input matrix is a sparse matrix
list	Logical; is the input a list? Defaults to FALSE, but can be set to TRUE if the input matrix is a list

Value

A data frame with two columns: "tech" representing the technological class and "eor" representing the ease of recombination of the technological class

Author(s)

Pierre-Alexandre Balland [e-mail]

References

Fleming, L. and Sorenson, O. (2001) Technology as a complex adaptive system: evidence from patent data, Research Policy 30: 1019-1039

See Also

modular_complexity, tci, mort

Examples

## generate a technology - patent matrix
set.seed(31)
mat <- matrix(sample(0:1, 30, replace = TRUE), ncol = 5)
rownames(mat) <- c("T1", "T2", "T3", "T4", "T5", "T6")
colnames(mat) <- c("US1", "US2", "US3", "US4", "US5")

## generate a technology - patent sparse matrix
library(Matrix)
smat <- Matrix(mat, sparse = TRUE)

## run the function
ease_recombination(mat)
ease_recombination(smat, sparse = TRUE)

## generate a regular data frame (list)
my_list <- get_list(mat)

## run the function
ease_recombination(my_list, list = TRUE)

EconGeo documentation built on July 9, 2023, 6:58 p.m.