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netdiffuseR  

Analysis of Diffusion and Contagion Processes on Networks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("netdiffuseR", "1.22.6")



Attach the package and use:
library("netdiffuseR")
Maintained by
George Vega Yon
[Scholar Profile | Author Map]
First Published: 2016-02-18
Latest Update: 2023-08-30
Description:
Empirical statistical analysis, visualization and simulation of diffusion and contagion processes on networks. The package implements algorithms for calculating network diffusion statistics such as transmission rate, hazard rates, exposure models, network threshold levels, infectiousness (contagion), and susceptibility. The package is inspired by work published in Valente, et al., (2015) ; Valente (1995) , Myers (2000) , Iyengar and others (2011) , Burt (1987) ; among others.
How to cite:
George Vega Yon (2016). netdiffuseR: Analysis of Diffusion and Contagion Processes on Networks. R package version 1.22.6, https://cran.r-project.org/web/packages/netdiffuseR. Accessed 05 May. 2025.
Previous versions and publish date:
1.16.2 (2016-02-18 09:26), 1.16.5 (2016-05-07 01:50), 1.16.7 (2016-07-07 23:41), 1.17.0 (2016-11-11 00:07), 1.18.0 (2017-07-18 13:54), 1.18.1 (2017-07-24 01:16), 1.19.0 (2017-10-26 00:02), 1.20.0 (2018-06-07 18:17), 1.20.2 (2019-03-26 07:00), 1.21.0 (2020-02-12 11:40), 1.22.0 (2020-05-07 15:00), 1.22.3 (2021-05-28 18:30), 1.22.4 (2022-09-20 09:46), 1.22.5 (2022-12-02 17:20)
Other packages that cited netdiffuseR R package
View netdiffuseR citation profile
Other R packages that netdiffuseR depends, imports, suggests or enhances
Complete documentation for netdiffuseR
Functions, R codes and Examples using the netdiffuseR R package
Some associated functions: approx_geodesic . as.array.diffnet . as_dgCMatrix . bass . bootnet . brfarmers . brfarmersDiffNet . c.diffnet . classify_adopters . classify_graph . cumulative_adopt_count . dgr . diag_expand . diffnet-arithmetic . diffnet-class . diffnet_check_attr_class . diffnet_index . diffnetmatmult . diffreg . diffusion-data . diffusionMap . drawColorKey . edgelist_to_adjmat . edges_coords . ego_variance . egonet_attrs . exposure . fakeDynEdgelist . fakeEdgelist . fakesurvey . fakesurveyDyn . grid_distribution . hazard_rate . igraph . infection . isolated . kfamily . kfamilyDiffNet . matrix_compare . medInnovations . medInnovationsDiffNet . mentor_matching . moran . netdiffuseR-graphs . netdiffuseR-options . netdiffuseR . netmatch . network . nvertices . permute_graph . plot.diffnet . plot_adopters . plot_diffnet . plot_diffnet2 . plot_infectsuscep . plot_threshold . pretty_within . rdiffnet . read_pajek . read_ucinet_head . recode . rescale_vertex_igraph . rewire_graph . rgraph_ba . rgraph_er . rgraph_ws . ring_lattice . round_to_seq . select_egoalter . struct_equiv . struct_test . summary.diffnet . survey_to_diffnet . threshold . toa_diff . toa_mat . transformGraphBy . vertex_covariate_compare . vertex_covariate_dist . weighted_var . 
Some associated R codes: RcppExports.R . diffnet-c.R . egonets.R . options.R . random_graph.R . select_egoalter.R . spatial.R . stats.R . struct_equiv.R . struct_test.R . survey_to_diffnet.R .  Full netdiffuseR package functions and examples
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