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tnet (version 3.0.16)

Weighted, Two-Mode, and Longitudinal Networks Analysis

Description

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.

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Version

Install

install.packages('tnet')

Monthly Downloads

635

Version

3.0.16

License

GPL-3

Maintainer

Tore Opsahl

Last Published

February 24th, 2020

Functions in tnet (3.0.16)

weighted_richclub_local_w

The weighted rich-club effect (local measure)
degree_tm

Degree centrality in a two-mode network
Cross.Parker.Consulting.net.info

Intra-organisational networks
clustering_local_w

Barrat et al. (2004) generalised local clusering coefficient
closeness_w

Closeness centrality in a weighted network
dichotomise_w

Dichotomise a weighted one-mode network into a binary one-mode network
Davis.Southern.women.2mode

Davis' Southern Women network
Freemans.EIES.net.1.n48

Freeman's EIES network data
dichotomise_tm

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

Redefined clusering coefficient for two-mode networks
Cross.Parker.Manufacturing.net.info

Intra-organisational networks
as.tnet

Ensures that networks conform to the tnet stardards
distance_w

Distance in a weighted network
tnet_ucinet

Exports a tnet network to a DL file for UCINET
distance_tm

Distance in a two-mode network
betweenness_w

Betweenness centrality in a weighted network
clustering_local_tm

Redefined local clusering coefficient for two-mode networks
as.static.tnet

Transform a longitudinal network to a static edgelist network
tnet-package

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

Exports a tnet network to an igraph object
growth_l

Identifies growth mechanisms responsible for tie generation in longitudinal networks
Newman.Condmat.95.99.net.2mode

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

Random weighted network generator
OnlineSocialNetwork.n1899.net

Facebook-like Online Social Network
weighted_richclub_w

The weighted rich-club effect
clustering_w

Generalised clusering coefficient
compress_ids

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

Reshuffle of a binary two-mode network
rg_reshuffling_w

Reshuffle of a weighted network
weighted_richclub_tm

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

Random binary and weighted two-mode network
celegans.n306.net

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

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

Reinforcement_tm
USairport.n500.net

The network among the 500 busiest US commercial airports.
add_window_l

Add smoothing window to a longitudinal network
degree_w

Degree centrality in a weighted network
shrink_to_weighted_network

Shrink a repetative edgelist into a weighted
rg_reshuffling_l

Reshuffling a longitudinal network
symmetrise_w

Symmetrise_w