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Statnet specifications

Information


Unique identifier OMICS_23629
Name Statnet
Alternative name statnetWeb
Interface Web user interface
Restrictions to use None
License GNU General Public License version 3.0
Computer skills Basic
Stability Stable
Maintained Yes

Documentation


Maintainers


  • person_outline Martina Morris <>
  • person_outline Mark Handcock <>

Additional information


https://statnet.shinyapps.io/statnetWeb/ https://statnet.org/ https://github.com/statnet/statnetWeb

Information


Unique identifier OMICS_23629
Name Statnet
Alternative name statnetWeb
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0
Computer skills Advanced
Version 2016.9
Stability Stable
Requirements
R(≥3.0), tergm(≥3.4), ergm.count(≥3.2.2), sna(≥ 2.4), statnet.common(≥3.3), network(≥1.13), networkDynamic(≥ 0.9), ergm(≥3.6), networksis(≥2.1.3), degreenet(≥1.3.1), relevent(≥ 1.0.4), ndtv(≥0.10), EpiModel(≥1.2.7), latentnet(≥ 2.7.1), tsna(≥0.2)
Maintained Yes

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Documentation


Maintainers


  • person_outline Martina Morris <>
  • person_outline Mark Handcock <>

Additional information


https://statnet.shinyapps.io/statnetWeb/ https://statnet.org/ https://github.com/statnet/statnetWeb

Publication for Statnet

Statnet in publications

 (26)
PMCID: 5943561
PMID: 29774217
DOI: 10.3389/fvets.2018.00071

[…] idealized networks with disease transmission times, we generated maximally complete, unweighted, undirected networks for groups of size 3–200 in r, version 3.3.2 () with packages igraph (), statnet (), and functions that we developed and distribute in enss. we then simulated si models (with a per contact transmission rate, β, of 0.10, and per capita interactions per day set at three […]

PMCID: 5846769
PMID: 29529040
DOI: 10.1371/journal.pone.0193759

[…] were assigned a network density of 1.0 (the highest possible value). the dataset used in the analyses is described in and provided in ., analyses were conducted in r [], using the igraph [] and statnet [] packages for the manipulation and analysis of the food sharing networks. linear regressions were conducted in a bayesian paradigm, via mcmc simulation [, ]. models were run using the rjags […]

PMCID: 5636203
PMID: 29026880
DOI: 10.1126/sciadv.1701218

[…] to the empirical network, demonstrating that the models were well fit to the data; gof plots are included in fig. s1. all analyses were carried out in r version 3.3.1 (). network analyses used the statnet suite of r packages (, ), except modularity, which was measured using the igraph package ()., we used video data to quantify aggression between adult pumas feeding together. we quantified […]

PMCID: 5389982
PMID: 28450845
DOI: 10.3389/fpsyg.2017.00583

[…] the process until the estimated value becomes stable. studies have shown that the mcmc mle method works better than the mle method, especially when the network has a strong dyadic dependence., statnet’s ergm r software package was used to conduct statistical analysis. the study applied mcmc mle to conduct parameter estimations. first, peer relationship networks in each class were built […]

PMCID: 5656331
PMID: 29104749
DOI: 10.1111/2041-210X.12772

[…] also do not incorporate a permutation procedure for testing hypotheses., using the simulation framework previously described, i generated networks and fit a standard ergm model (using the r package statnet, handcock et al. ) that includes sex as a node effect. this model tests whether edges are disproportionately likely to be connected to females (which we know should be the case […]


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Statnet institution(s)
Department of Statistics, University of Washington, Seattle, WA, USA; Department of Statistics, PennState University, PA, USA; Institute for Mathematical Behavioral Sciences, University of California, Irvine, CA, USA; University of Washington, Seattle, WA, USA
Statnet funding source(s)
Supported by two grants from the National Institutes of Health (R01-HD041877, R01-DA012831), an additional funding from Le Studium, an agency of the Centre National de la Recherche Scientifique of France, and NIH grant R01-GM083603-01.

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