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networkDynamic:
Dynamic Extensions for Network Objects
networkDynamic is a network data management package that
provides tools to import, transform and extract relational data with
timing information from various data structures (matrices, spell lists,
toggles, etc). The software manages temporal information for both
vertices and edges, including presence/absence (which allows for changes
in network size) and discrete or continuous attributes. Both directed
and undirected networks are supported.
This package is a part of the Statnet suite of packages for network
analysis, so it is designed to work seamlessly with all of the packages
in that suite. networkDynamic extends the capability of
Statnet’s network package to handle temporal information,
and it is the data management foundation used by the higher level
packages: * tsna Exploratory
data analysis and summary statistics for temporal networks * ndtv Temporal
network graphics and animation * tergm
Statistical analysis and simulation of temporal networks with TERGMs *
ergmgp
Modeling continuous time graph processes with ERGM equilibria * EpiModel Epidemic
modeling on dynamic networks
networkDynamic package
vignette reference
manual
Tutorials on using networkDynamic in data analysis
workflows include the Statnet workshops Temporal
network tools in statnet: networkDynamic, ndtv and tsna Temporal Exponential Random
Graph Models (TERGMs) for dynamic networks
Self-guided training materials for all of the Statnet packages can be
found on the statnet workshop
page . For EpiModel please see the EpiModel organization site
This software is distributed under the GPL-3 license. It is free, open source, and has the attribution requirements (GPL Section 7) at http://statnet.org/attribution
To cite the package ‘networkDynamic’ in publications use:
Butts C, Leslie-Cook A, Krivitsky P, Bender-deMoll S (2023). networkDynamic: Dynamic Extensions for Network Objects. R package version 0.11.3, https://CRAN.R-project.org/package=networkDynamic
This work was supported by grant R01HD68395 from the National Institute of Health.
Please note that the networkDynamic project is released
with a Contributor
Code of Conduct. By contributing to this project, you agree to abide
by its terms.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.