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TNC  

Temporal Network Centrality (TNC) Measures
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("TNC", "0.1.0")



Attach the package and use:
library("TNC")
Maintained by
Moritz Hanke
[Scholar Profile | Author Map]
First Published: 2017-09-06
Latest Update: 2017-09-06
Description:
Node centrality measures for temporal networks. Available measures are temporal degree centrality, temporal closeness centrality and temporal betweenness centrality defined by Kim and Anderson (2012) <doi:10.1103/PhysRevE.85.026107>. Applying the REN algorithm by Hanke and Foraita (2017) <doi:10.1186/s12859-017-1677-x> when calculating the centrality measures keeps the computational running time linear in the number of graph snapshots. Further, all methods can run in parallel up to the number of nodes in the network.
How to cite:
Moritz Hanke (2017). TNC: Temporal Network Centrality (TNC) Measures. R package version 0.1.0, https://cran.r-project.org/web/packages/TNC. Accessed 10 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited TNC R package
View TNC citation profile
Other R packages that TNC depends, imports, suggests or enhances
Complete documentation for TNC
Functions, R codes and Examples using the TNC R package
Some associated functions: TNC . tbc . tcc . tdc . 
Some associated R codes: TNC.R . tbc.R . tbc_adjalists.R . tbc_adjamatrices.R . tcc.R . tcc_adjalists.R . tcc_adjamatrices.R . tdc.R . tdc_adjalists.R . tdc_adjamatrices.R . zero_range.R . zzz.R .  Full TNC package functions and examples
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