The SIENA website ,

• http://www.stats.ox.ac.uk/~snijders/siena/
• RSiena at GitHub: https://github.com/stocnet/rsiena/.

Websites related to SIENA

• The user Group for SIENA: https://groups.io/g/RSiena.
• The RSiena information at CRAN (the Comprehensive R Archive Network).

Websites of persons who have contributed to the methods in SIENA and/or the computer program

• Viviana Amati: https://en.unimib.it/viviana-amati
• Per Block: https://www.suz.uzh.ch/en/institute/aboutus/professors/block.html
• James Hollway: https://jameshollway.com/
• Marion Hoffman: https://marion-hoffman.github.io/
• Mark Huisman: https://www.rug.nl/staff/j.m.e.huisman/
• Johan Koskinen: https://www.su.se/english/profiles/kosk-1.615440
• Robert Krause: https://gatton.uky.edu/faculty-research/faculty/krause-robert
• Josh Lospinoso: https://www.lospi.net/
• Nynke Niezink: https://www.stat.cmu.edu/people/faculty/nynke-niezink,
• Ruth Ripley: https://www.stats.ox.ac.uk/~ruth/
• Michael Schweinberger: https://michael-schweinberger.github.io/web/
• Tom Snijders: https://www.stats.ox.ac.uk/~snijders/ with associated Social networks page.
• Christoph Stadtfeld: https://sn.ethz.ch/profile.html?persid=210738
• Christian Steglich: https://www.rug.nl/staff/c.e.g.steglich/,
  https://liu.se/en/employee/chrst41
• Marijtje van Duijn: https://www.rug.nl/staff/m.a.j.van.duijn/

Other related statistical network software

• The Goldfish package in R, which allows the study of a variety network event models, including Dynamic Network Actor Models (DyNAMs), as well as the tie-oriented Relational Event Model: https://github.com/stocnet/goldfish
• The "old" StOCNET program that contained the first versions of SIENA, and which contains also various other modules for the statistical analysis of network data: https://stocnet.gmw.rug.nl/
• statnet, an R package for the representation, visualization, analysis and simulation of social network data, including Exponential Random Graph Models: https://csde.washington.edu/statnet/
• PNet, a program for the simulation and estimation of p* Exponential Random Graph Models: https://www.melnet.org.au/pnet/.

Research groups

• The Social Networks Lab at ETH Zürich: https://sn.ethz.ch/.
• MelNet, a site at the University of Melbourne dedicated to social network theory, method and analysis using Exponential Random Graph (p*) models for social networks: https://www.sna.unimelb.edu.au/.
• The Social Network Analysis Research Center (SoNAR-C) at the Università della Svizzera italiana: https://search.usi.ch/en/organisational-units/377/social-network-analysis-research-center.

Research institutions

• INSNA (International Network of Social Network Analysts): https://www.insna.org.
• Research center and graduate school ICS, where Christian Steglich and Tom Snijders are working, and where much of the scientific work on SIENA has taken place:
  https://www.ics-graduateschool.nl/.
• Nuffield College, the college at the University of Oxford where Ruth Ripley, Johan Koskinen, and Tom Snijders did much work on the development of SIENA: https://www.nuffield.ox.ac.uk/our-research/sociology/.