Package: tnet 3.0.16

tnet: Weighted, Two-Mode, and Longitudinal Networks Analysis

Binary ties limit the richness of network analyses as relations are unique. The two-mode structure contains a number of features lost when projection it to a one-mode network. Longitudinal datasets allow for an understanding of the causal relationship among ties, which is not the case in cross-sectional datasets as ties are dependent upon each other.

Authors:Tore Opsahl

tnet_3.0.16.tar.gz
tnet_3.0.16.zip(r-4.7)tnet_3.0.16.zip(r-4.6)tnet_3.0.16.zip(r-4.5)
tnet_3.0.16.tgz(r-4.6-any)tnet_3.0.16.tgz(r-4.5-any)
tnet_3.0.16.tar.gz(r-4.7-any)tnet_3.0.16.tar.gz(r-4.6-any)
tnet_3.0.16.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
tnet/json (API)

# Install 'tnet' in R:
install.packages('tnet', repos = c('https://toreopsahl.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4.65 score 1 stars 8 packages 187 scripts 684 downloads 32 mentions 31 exports 12 dependencies

Last updated from:15bd16db11. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK141
source / vignettesOK172
linux-release-x86_64OK134
macos-release-arm64OK126
macos-oldrel-arm64OK200
windows-develOK94
windows-releaseOK88
windows-oldrelOK96
wasm-releaseOK100

Exports:add_window_las.static.tnetas.tnetbetweenness_wcloseness_wclustering_local_tmclustering_local_wclustering_tmclustering_wcompress_idsdegree_tmdegree_wdichotomise_tmdichotomise_wdistance_tmdistance_wgrowth_lprojecting_tmreinforcement_tmrg_reshuffling_lrg_reshuffling_tmrg_reshuffling_wrg_tmrg_wshrink_to_weighted_networksymmetrise_wtnet_igraphtnet_ucinetweighted_richclub_local_wweighted_richclub_tmweighted_richclub_w

Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixpkgconfigrlangsurvivalvctrs

Readme and manuals

Help Manual

Help pageTopics
Collection of functions for analysing weighted networks, two-mode networks, and longitudinal networkstnet
Add smoothing window to a longitudinal networkadd_window_l
Transform a longitudinal network to a static edgelist networkas.static.tnet
Ensures that networks conform to the tnet stardardsas.tnet
Betweenness centrality in a weighted networkbetweenness_w
The neural network of the Caenorhabditis elegans worm (c.elegans)celegans.n306.net
Closeness centrality in a weighted networkcloseness_w
Redefined local clusering coefficient for two-mode networksclustering_local_tm
Barrat et al. (2004) generalised local clusering coefficientclustering_local_w
Redefined clusering coefficient for two-mode networksclustering_tm
Generalised clusering coefficientclustering_w
Remove non-active nodes from one-mode/two-mode/longitudinal networkscompress_ids
Intra-organisational networksCross.Parker.Consulting.net.info Cross.Parker.Consulting.net.value Cross.Parker.Consulting.node.gender Cross.Parker.Consulting.node.location Cross.Parker.Consulting.node.orglevel Cross.Parker.Consulting.node.region
Intra-organisational networksCross.Parker.Manufacturing.net.aware Cross.Parker.Manufacturing.net.info Cross.Parker.Manufacturing.node.location Cross.Parker.Manufacturing.node.orglevel Cross.Parker.Manufacturing.node.tenure
Davis' Southern Women networkDavis.Southern.women.1mode.Cooccurance Davis.Southern.women.1mode.Newman Davis.Southern.women.2mode
Degree centrality in a two-mode networkdegree_tm
Degree centrality in a weighted networkdegree_w
Dichotomise a weighted two-mode network into a binary two-mode networkdichotomise_tm
Dichotomise a weighted one-mode network into a binary one-mode networkdichotomise_w
Distance in a two-mode networkdistance_tm
Distance in a weighted networkdistance_w
Freeman's EIES network dataFreemans.EIES.net.1.n48 Freemans.EIES.net.2.n48 Freemans.EIES.net.3.n32 Freemans.EIES.node.Citations.n32 Freemans.EIES.node.Discipline.n32 Freemans.EIES.node.Name.n32
Identifies growth mechanisms responsible for tie generation in longitudinal networksgrowth_l
Newman's condmat 95-99 network (two-mode structure)Newman.Condmat.95.99.net.1mode.wNewman Newman.Condmat.95.99.net.2mode
Facebook-like Online Social NetworkOnlineSocialNetwork.n1899.lnet OnlineSocialNetwork.n1899.net
Projecting binary and weighted two-mode networks onto weighted one-mode networks.projecting_tm
Reinforcement_tmreinforcement_tm
Reshuffling a longitudinal networkrg_reshuffling_l
Reshuffle of a binary two-mode networkrg_reshuffling_tm
Reshuffle of a weighted networkrg_reshuffling_w
Random binary and weighted two-mode networkrg_tm
Random weighted network generatorrg_w
Shrink a repetative edgelist into a weightedshrink_to_weighted_network
Symmetrise_wsymmetrise_w
Exports a tnet network to an igraph objecttnet_igraph
Exports a tnet network to a DL file for UCINETtnet_ucinet
The network among the 500 busiest US commercial airports.USairport.n500.net
The weighted rich-club effect (local measure)weighted_richclub_local_w
The weighted rich-club effect (two-mode networks)weighted_richclub_tm
The weighted rich-club effectweighted_richclub_w