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networkDynamic-package

Dynamic Extensions for Network Objects


Description

Simple interface routines to facilitate the handling of dynamic network objects with different types of temporal data. This allows the user to create, store and query networks that change over time. Changes include edges that form and dissolve over time, and vertices that enter or leave the network. The package also includes support for defining and querying temporally changing attributes of vertices, edges, and network properties.

Details

Package: networkDynamic
Type: Package
Version: 0.7
Date: 2014-09-25
Depends: network
License: GPL-3
LazyLoad: yes

The networkDynamic package provides support for a simple family of dynamic extensions to the network class; these employ the standard network attribute functionality (and hence the resulting objects are still compatible with all conventional routines), but greatly facilitate the practical storage, manipulation and query of dynamic network data.

The basis for the dynamic extensions is described in activity.attribute. Dynamic attributese are explained in attribute.activity.functions. Id systems which are persistent throughout manipulations and changes in network size are explained in persistent.ids. Other core routines can be found in the links below.

Additional example data sets can be found in the networkDynamicData package.

Author(s)

Originally created by Carter T. Butts buttsc@uci.edu,

Current Maintainer: Skye Bender-deMoll skyebend@uw.edu

Contributions from: Pavel Krivitsky pavel@uow.edu.au, Ayn Leslie-Cook aynlc3@uw.edu, David Hunter dhunter@stat.psu.edu, Li Wang lxwang@gmail.com, Kirk Li kirkli@uw.edu, StevenGoodreau goodreau@uw.edu, Zack Almquist almquist@uci.edu, Jeffrey Horner jeffrey.horner@gmail.com, Martina Morris morrism@u.washington.edu"

With support from the statnet team https://statnet.org

See Also


networkDynamic

Dynamic Extensions for Network Objects

v0.10.1
GPL-3
Authors
Carter T. Butts [aut], Ayn Leslie-Cook [aut], Pavel N. Krivitsky [aut], Skye Bender-deMoll [aut, cre], Zack Almquist [ctb], David R. Hunter [ctb], Li Wang [ctb], Kirk Li [ctb], Steven M. Goodreau [ctb], Jeffrey Horner [ctb], Martina Morris [ctb]
Initial release
2020-01-16

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