Further links

The SIENA website,

• http://www.stats.ox.ac.uk/~snijders/siena/

Websites related to SIENA

• The user Group for SIENA and StOCNET: https://groups.io/g/RSiena
• The RSiena information at CRAN (the Comprehensive R Archive Network).
• The RSiena project at R-Forge which was the predecessor of this GitHub project.
  However, RSienaTest is still available only from R-Forge.

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

• Viviana Amati: https://www.gess.ethz.ch/das-departement/personen/person-detail.html?persid=243531
• Per Block: https://www.sociology.ox.ac.uk/people/per-block.html
• James Hollway: https://jameshollway.com
• Mark Huisman: http://www.rug.nl/staff/j.m.e.huisman/
• Johan Koskinen: http://www.findanexpert.unimelb.edu.au/individual/person136290
• Robert Krause: https://www.ewi-psy.fu-berlin.de/einrichtungen/arbeitsbereiche/methoden_und_evaluation/beschaeftigte/Robert-Krause
• Josh Lospinoso: http://www.lospi.net/
• Nynke Niezink: http://www.stat.cmu.edu/people/faculty/nynke-niezink
• Ruth Ripley: http://www.stats.ox.ac.uk/~ruth/
• Michael Schweinberger: http://www.stat.rice.edu/~ms88/
• Tom Snijders: http://www.stats.ox.ac.uk/~snijders/
• Christoph Stadtfeld: https://sn.ethz.ch/profile.html?persid=210738
• Christian Steglich: https://www.rug.nl/staff/c.e.g.steglich/ and https://liu.se/en/employee/chrst41
• Marijtje van Duijn: http://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://sn.ethz.ch/research/goldfish.html
• The StOCNET program that contained the first versions of SIENA, and which contains also various other modules for the statistical analysis of network data: http://stocnet.gmw.rug.nl/
• statnet, an R package for the representation, visualization, analysis and simulation of social network data, including Exponential Random Graph Models: http://csde.washington.edu/statnet/
• PNet, a program for the simulation and estimation of p* Exponential Random Graph Models: http://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: http://www.sna.unimelb.edu.au/.
• The Social Network Analysis Research Center (SoNAR-C) at the Università della Svizzera italiana: http://www.sonarcenter.eco.usi.ch/.

Research institutions

• INSNA (International Network of Social Network Analysts): http://www.insna.org.
• Science Plus (the company which developed the StOCNET interface): http://www.scienceplus.nl/.
• 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: http://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: http://www.nuffield.ox.ac.uk/.