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tnet (version 0.1.3)
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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Install
install.packages('tnet')
Monthly Downloads
1,098
Version
0.1.3
License
file LICENSE
Maintainer
Tore Opsahl
Last Published
November 26th, 2009
Functions in tnet (0.1.3)
Search functions
Cross.Parker.Consulting.net.value
Intra-organisational networks
Newman.Condmat.95.99.net.1mode.wNewman
Newman's condmat 95-99 network (one-mode structure)
weighted_richclub_w
The weighted rich-club effect
Cross.Parker.Consulting.net.info
Intra-organisational networks
Cross.Parker.Manufacturing.net.aware
Intra-organisational networks
Cross.Parker.Manufacturing.node.orglevel
Intra-organisational networks
OnlineComm.f1000.lnet
Online community - extract
Cross.Parker.Consulting.node.orglevel
Intra-organisational networks
rg_w
Random weighted network generator
degree_w
Degree centrality in a weighted network
weighted_richclub_tm
The weighted rich-club effect (two-mode networks)
small_world_test_tm
Finds the observed and randomly expected clustering coefficient and average shortest distance
Cross.Parker.Manufacturing.net.info
Intra-organisational networks
shrink_to_weighted_network
Shrink a repetative edgelist into a weighted
betweenness_w
Betweenness centrality in a weighted network
Cross.Parker.Consulting.node.location
Intra-organisational networks
rg_reshuffling_tm
Reshuffle of a binary two-mode network
clustering_w
Generalised clusering coefficient
as.tnet
Ensures that networks conform to the tnet stardards
Cross.Parker.Manufacturing.node.tenure
Intra-organisational networks
Newman.Condmat.95.99.net.2mode
Newman's condmat 95-99 network (two-mode structure)
distance_w
Distance in a weighted network
clustering_w_local
Barrat et al. (2004) generalised local clusering coefficient
celegans.n306.net
The neural network of the Caenorhabditis elegans worm (C.elegans)
rg_reshuffling_w
Reshuffle of a weighted network
Cross.Parker.Consulting.node.region
Intra-organisational networks
Freemans.EIES.node.Discipline.n32
Freeman's EIES network: discipline (nodal attribute)
tnet-package
Collection of functions for analysing weighted networks, two-mode networks, and longitudinal networks
clustering_tm
Redefined clusering coefficient for two-mode networks
Freemans.EIES.net.1.n48
Freeman's EIES network 1
Freemans.EIES.net.3.n32
Freeman's EIES network 3
Cross.Parker.Manufacturing.node.location
Intra-organisational networks
dichotomise
Dichotomise a weighted network into a binary network
Cross.Parker.Consulting.node.gender
Intra-organisational networks
projecting_tm
Projecting binary and weighted two-mode networks onto weighted one-mode networks.
closeness_w
Closeness centrality in a weighted network
USairport.n500.net
The network among the 500 busiest US commercial airports.
small_world_test_w
Finds the observed and randomly expected clustering coefficient and average shortest distance
symmetrise
Symmetrise
Freemans.EIES.net.2.n48
Freeman's EIES network 2
Freemans.EIES.node.Citations.n32
Freeman's EIES network: citations (nodal attribute)
rg_tm
Random binary and weighted two-mode network