sna

sna: Tools for Social Network Analysis A range of tools for social network analysis, including node and graph-level indices, structural distance and covariance methods, structural equivalence detection, network regression, random graph generation, and 2D/3D network visualization.

Keywords for this software

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References in zbMATH (referenced in 10 articles )

Showing results 1 to 10 of 10.
Sorted by year (citations)

  1. Michael Schweinberger; Pamela Luna: hergm: Hierarchical Exponential-Family Random Graph Models (2018)
  2. Baumer, Benjamin S.; Kaplan, Daniel T.; Horton, Nicholas J.: Modern data science with R (2017)
  3. Butts, Carter T.: A novel simulation method for binary discrete exponential families, with application to social networks (2015)
  4. Zhao, Yanchang: R and data mining. Examples and case studies (2013)
  5. Chen, Chin-Yi; Li, Chung-Wei: A hybrid network model to extract key criteria and its application for brand equity evaluation (2012)
  6. Sacha Epskamp; Angélique Cramer; Lourens Waldorp; Verena Schmittmann; Denny Borsboom: qgraph: Network Visualizations of Relationships in Psychometric Data (2012)
  7. Giordano, Giuseppe; Vitale, Maria Prosperina: On the use of external information in social network analysis (2011)
  8. Martina Morris; Mark Handcock; David Hunter: Specification of Exponential-Family Random Graph Models: Terms and Computational Aspects (2008)
  9. Skye Bender-deMol; Martina Morris; James Moody: Prototype Packages for Managing and Animating Longitudinal Network Data: dynamicnetwork and rSoNIA (2008)
  10. Batagelj, Vladimir; Mrvar, Andrej: Pajek -- analysis and visualization of large networks (2002)