network: A Package for Managing Relational Data in R

By Carter T. Butts. 2008

388 citations recorded by the source corpus.

Effective memory structures for relational data within R must be capable of representing a wide range of data while keeping overhead to a minimum. The network package provides an class which may be used for encoding complex relational structures composed a vertex set together with any combination of undirected/directed, valued/unvalued, dyadic/hyper, and single/multiple edges; storage requirements are on the order of the number of edges involved. Some simple constructor, interface, and visualization functions are provided, as well as a set of operators to facilitate employment by end users. The package also supports a C-language API, which allows developers to work directly with network objects within backend code.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems

View Paper: https://www.semanticscholar.org/paper/31b4c503652aabb6ecf756d96355a828bb367dcc

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Citations in the corpus

Network Analysis of World Trade using the BACI-CEPII Dataset (2014, positive): “The igraph library (Csardi and Nepusz, 2006), the network library (Butts, 2008a), the sna library (Butts, 2008b), among others, have been collected under the umbrella of the statnet library (Goodreau, Handcock, Hunter, Butts and Morris, 2008), while the tnet library as been realized expressly do dea”
Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects. (2008, methodology): “Terms are speciﬁed by an R formula object, giving the network and network statistics, of the form where y is a network object (Butts 2008a) or a matrix that can be coerced to a network object; and <term 1> , <term 2> , etc. are terms chosen from the list below.”
NetCoMi: network construction and comparison for microbiome data in R (2020, background): “Although a wide range of general-purpose tools is available for visualizing and analysing networks [22, 23], including the R packages igraph [24], statnet [25] and network [26], the special nature of current MGS data requires careful statistical treatment.”
statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data. (2008, methodology): “The optional packages sna , degreenet , latentnet , and networksis are all available on CRAN: • sna : A set of tools for traditional social network analysis (Butts 2008b).”
ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks. (2008, methodology): “) Because the ergm package depends on the network package (Butts 2008), the lines above will automatically install (if necessary) and load the network package as well.”
Qgraph: Network visualizations of relationships in psychometric data (2012, neutral): “This is a C function that was ported from the sna package (Butts 2010, 2008b).”
Genetic structure and domestication history of the grape (2011, methodology): “Adjacency matrices and network images were generated using the “network” package in R (37).”