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tnet (version 3.0.5)

tnet: Software for Analysis of Weighted, Two-mode, and Longitudinal networks

Description

R package to analyse weighted, two-mode, and longitudinal networks.

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Version

Install

install.packages('tnet')

Monthly Downloads

423

Version

3.0.5

License

CC BY-NC 3.0 + file LICENSE

Maintainer

Tore Opsahl

Last Published

May 4th, 2011

Functions in tnet (3.0.5)

symmetrise_w

Symmetrise_w

clustering_local_w

Barrat et al. (2004) generalised local clusering coefficient

dichotomise_tm

Dichotomise a weighted two-mode network into a binary two-mode network

projecting_tm

Projecting binary and weighted two-mode networks onto weighted one-mode networks.

celegans.n306

The neural network of the Caenorhabditis elegans worm (c.elegans)

clustering_tm

Redefined clusering coefficient for two-mode networks

weighted_richclub_local_w

The weighted rich-club effect (local measure)

clustering_w

Generalised clusering coefficient

degree_w

Degree centrality in a weighted network

distance_tm

Distance in a two-mode network

rg_tm

Random binary and weighted two-mode network

degree_tm

Degree centrality in a two-mode network

OnlineSocialNetwork.n1899

Facebook-like Online Social Network

growth_l

Identifies growth mechanisms responsible for tie generation in longitudinal networks

Cross.Parker.Manufacturing

Intra-organisational networks

Davis.Southern.women

Davis' Southern Women network

weighted_richclub_tm

The weighted rich-club effect (two-mode networks)

weighted_richclub_w

The weighted rich-club effect

rg_reshuffling_l

Reshuffling a longitudinal network

rg_reshuffling_w

Reshuffle of a weighted network

rg_reshuffling_tm

Reshuffle of a binary two-mode network

Cross.Parker.Consulting

Intra-organisational networks

betweenness_w

Betweenness centrality in a weighted network

as.static.tnet

Transform a longitudinal network to a static edgelist network

USairport.n500

The network among the 500 busiest US commercial airports.

tnet-package

Collection of functions for analysing weighted networks, two-mode networks, and longitudinal networks

Newman.Condmat.95.99

Newman's condmat 95-99 network (two-mode structure)

rg_w

Random weighted network generator

clustering_local_tm

Redefined local clusering coefficient for two-mode networks

as.tnet

Ensures that networks conform to the tnet stardards

Freemans.EIES

Freeman's EIES network data

add_window_l

Add smoothing window to a longitudinal network

dichotomise_w

Dichotomise a weighted one-mode network into a binary one-mode network

shrink_to_weighted_network

Shrink a repetative edgelist into a weighted

closeness_w

Closeness centrality in a weighted network

tnet_igraph

Exports a tnet network to an igraph object

distance_w

Distance in a weighted network

tnet_ucinet

Exports a tnet network to a DL file for UCINET

compress_ids

Remove non-active nodes from one-mode/two-mode/longitudinal networks