Social Network Analysis with sna

By Carter T. Butts. 2008

536 citations recorded by the source corpus.

Modern social network analysis---the analysis of relational data arising from social systems---is a computationally intensive area of research. Here, we provide an overview of a software package which provides support for a range of network analytic functionality within the R statistical computing environment. General categories of currently supported functionality are described, and brief examples of package syntax and usage are shown.

Subfields: Experimental and Cognitive Psychology, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/19e777dd4f4ce3369d62b663ab835448bd5bc023

Citations in the corpus

• Functional Molecular Ecological Networks (2010, unknown): “and igraph packages in the R project (53, 54).”
• Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects. (2008, unknown): “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.”
• Molecular ecological network analyses (2012, unknown): “called in the programs of sna [63], igraph [64] and WGCNA [65] packages in the R project.”
• Manual for RSiena (2011, unknown): “As an example, the following commands turn this list into a list of edgelists according to the format of the sna package (Butts, 2008), and then calculate the maximum k-core numbers in the networks.”
• Validity Issues in the Use of Social Network Analysis with Digital Trace Data (2011, unknown): “Popular tools include UCINet (Borgatti, Everett, & Freeman, 2002), Pajek (de Nooy, Mrvar, & Batagelj, 2005), the SNA package for R (Butts, 2008), and NodeXL (Hansen, Shneiderman, & Smith, 2010).”
• Social Network Analysis in the Science of Groups: Cross-Sectional and Longitudinal Applications for Studying Intra- and Intergroup Behavior (2015, unknown): “…From the variety of established statistical programs for the cross-sectional analysis of social networks, we personally recommend the R package sna (Butts, 2008) and the UCINET Software (Borgatti, Everett, & Freeman, 2002), which both allow the calculation of all network parameters and procedures…”
• Qgraph: Network visualizations of relationships in psychometric data (2012, unknown): “This is a C function that was ported from the sna package (Butts 2010, 2008b).”
• Peer Influence, Internet use and Cyberbullying: A Comparison of Different Context Effects among German Adolescents (2013, unknown): “Data analysis was carried out using the statistical software R and the sna package (Butts, 2008).”
• Inference and analysis of cell-cell communication using CellChat (2020, unknown): “Flow betweenness score 87 measures a group of cells ’ capability as gatekeeper to control communication fl ow between any two cell groups.”
• State of the aRt personality research: A tutorial on network analysis of personality data in R (2015, unknown): “Some of the functions rely on procedures originally implemented in packages igraph (Csárdi & Nepusz, 2006), sna (Butts, 2008b), and WGCNA (Langfelder & Horvath, 2008, 2012).”
• A statnet Tutorial. (2008, unknown): “For more information on performing classical network analysis, see Butts (2008b) or the documentation for the sna package.”
• Network Analysis of World Trade using the BACI-CEPII Dataset (2014, unknown): “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…”
• Topological analysis and interactive visualization of biological networks and protein structures (2012, unknown): “General software libraries for network analysis are the Java framework JUNG 22 , the C + + library LEDA 23 , the Python package NetworkX 24 and R packages such as igraph 25 , statnet 26 , sna 27 , tnet 28 and QuACN 29 .”
• statnet: Software Tools for the Representation, Visualization, Analysis and Simulation of Network Data. (2008, unknown): “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).”
• Constructing, conducting and interpreting animal social network analysis (2015, unknown): “Further, there are some excellent libraries in R (R Development Core Team 2013), in particular IGRAPH (Csardi & Nepusz 2006) and SNA (Butts 2008) which calculate almost all common network algorithms (see Table 2). interpretation of network metrics Studies use network metrics to estimate differences…”
• ggClusterNet: An R package for microbiome network analysis and modularity‐based multiple network layouts (2022, unknown): “Then, those circles were arranged manually by setting the coordinate values. randSNEClusterG : Nodes of a module (group) were all arranged by multiple layouts in the sna package [22], respectively.”