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PathwaySpace  

Spatial Projection of Network Signals along Geodesic Paths
View on CRAN: Click here


Download and install PathwaySpace package within the R console
Install from CRAN:
install.packages("PathwaySpace")

Install from Github:
library("remotes")
install_github("cran/PathwaySpace")

Install by package version:
library("remotes")
install_version("PathwaySpace", "1.0.0")



Attach the package and use:
library("PathwaySpace")
Maintained by
Mauro Castro
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-03
Latest Update: 2024-09-03
Description:
For a given graph containing vertices, edges, and a signal associated with the vertices, the 'PathwaySpace' package performs a convolution operation, which involves a weighted combination of neighboring vertices and their associated signals. The package then uses a decay function to project these signals, creating geodesic paths on a 2D-image space. 'PathwaySpace' could have various applications, such as visualizing and analyzing network data in a graphical format that highlights the relationships and signal strengths between vertices. It can be particularly useful for understanding the influence of signals through complex networks. By combining graph theory, signal processing, and visualization, the 'PathwaySpace' package provides a novel way of representing and analyzing graph data.
How to cite:
Mauro Castro (2024). PathwaySpace: Spatial Projection of Network Signals along Geodesic Paths. R package version 1.0.0, https://cran.r-project.org/web/packages/PathwaySpace. Accessed 20 Feb. 2025.
Previous versions and publish date:
0.99.4 (2024-09-03 17:30)
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Complete documentation for PathwaySpace
Functions, R codes and Examples using the PathwaySpace R package
Full PathwaySpace package functions and examples
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