**- "**

__Spring 2019__**Social Network Analysis",**University of Zurich, Switzerland

Social network analyses investigate the relationships (arcs/edges) between individuals or organizations, such as friendship, advice, interaction or trust. In contrast to many other statistical approaches, one models the interdependencies between entities explicitly. Such a perspective allows the visualization and study of structural features of network structures such as centrality of network nodes. This module has two objectives. First, it gives an introduction to social network analyses and the modelling of networks and network dynamics. Second, it gives hands-on tutorials for conducting social network analysis in R.

- Session 1 - Introduction to Social Network Analysis: Slides, Script, Data, Assignment 1
- Session 2 - Modeling networks, CUG , QAP: Slides, Script, Assignment 2
- Excursion: Exercise, Assignment 3, Assignment 4
- Session 3 - Exponential random graph models: Slides, Script
- Session 4 - Stochastic actor-oriented models: Slides, Script

__Spring 2017__**- "SOC 40760 Dynamic Social Networks"**, three-day workshop, UCD Dublin, Dublin, IrelandThis module gives an introduction to dynamic social networks. Topics include the visualization and statistical modeling of network dynamics, e.g. stochastic-actor oriented network models, co-evolution of networks and actor attributes, (temporal) exponential random graph models and relational event analysis.

- Session 1 (10/2/2017): slides

__- "__

**31 Oct - 4 Nov 2016****Advanced Social Network Analysis**", workshop at University of Zurich, Switzerland

- Day 1 - Introduction to Networks: Slides Intro, Script Intro, Exercise Intro, Data
- Day 2 - Hypothesis Testing, CUG, QAP, p2: Slides Inference, Script Inference
- Day 3 - Exponential Random Graph Models: Slides ERGM, Script ERGM
- Day 4 - Stochastic Actor-Oriented Models: Slides SAOM, Script SAOM, Exercise SAOM
- Day 5 - Advanced Stochastic Actor-Oriented Models: Slides Co-Evolution, Script Co-Evolution

__Spring 2016__**- "SOC 20230 Analytical Sociology"**, undergraduate elective module, UCD Dublin, Dublin, Ireland

__Spring 2016__**- "SOC 10070 Sociological Analysis and Research Design"**, undergraduate core module, UCD Dublin, Dublin, Ireland

__18 - 20 November 2015__**- "SOC 40760 Dynamic Social Networks"**, three-day workshop, UCD Dublin, Dublin, IrelandThe empirical study of dynamic social networks and the emergence of social structures is currently receiving considerable attention. For example, novel actor-oriented modeling strategies that can be used to study how network structures evolve dramatically change the way scholars assess the social world. Investigating the dynamics of change in networks and the co-evolution of networks and actor-behaviors give insights into how social networks work and what the underlying mechanisms are.

This module gives an introduction to dynamic social networks. Topics include the visualization and statistical modeling of network dynamics, e.g. stochastic-actor oriented network models, co-evolution of networks and actor attributes, (temporal) exponential random graph models and relational event analysis. The module covers the theoretical foundation of these methods, but also gives hands-on instructions and examples for performing such analyses. Throughout the module students use the software R.

Course material

Assignment

This is a two-day workshop on programming in Stata.

__18 and 19 May 2015__**- "Programming in Stata"**, two-day workshop, Metrika, Hotel Birger Jarl, Stockholm, Sweden

This is a two-day workshop on programming in Stata.

**Slides**

**, one-day workshop, Linköping University, Sweden**

__19 March 2015__- "Social Network Analysis Using Stata"Social network analyses investigate the relationships (arcs/edges) between individuals or organizations, such as friendship, advice, or trust. In contrast to many other statistical approaches, one models the interdependencies between entities explicitly. Such a perspective allows the visualization and study of structural features of network structures such as centrality of network nodes. This workshop introduces the

**nwcommands**—a software suite of over 50 Stata commands—for social network analyses in Stata. The software includes programs for importing and exporting, loading and saving, handling, manipulating and replacing, generating, and visualizing and animating networks. It also includes commands for measuring the importance of network nodes, the detection of network patterns and features, the similarity of multiple networks, node attributes, and the advanced statistical analysis of networks including MR-QAP and ERGM. This workshop gives several examples using these programs, provides instructions for the installation, use, and support of the software (http://www.nwcommands.org), and introduces a platform for developers for additional programs to perform social network analyses using Stata. A book published by StataPress (written by the authors of the workshop) is forthcoming and will be the basis of this workshop.

**Slides**

**Installation guide**

**Commented syntax**

__12 - 13 August 2014__-**"Introduction to Stata Graphics"**, two-day workshop, Metrika, Hotel Birger Jarl, Stockholm, Sweden

The Stata graphics command is extremely powerful and flexible, and it allows you to fine-tune the production of publication-quality graphs to fit your needs. The wide range of options means that many Stata users only make use a small fraction of its capabilities, however. This two-day course gives you a detailed introduction to graphics in Stata, and will show you how to make full use of its powerful graphics engine. No prior knowledge is required.

Course material (day1)

Course material (day2)

__5 December 2013__

**- "Network Dynamics"**,

**one-day workshop CICC-UdeM, Montreal**

10H - 16H Salle C-1017-13 , Pavillon Lionel-Groulx

Investigating the dynamics of change in networks or networks at different points in time can give insights into how networks work and what the underlying mechanisms are. This workshop gives an introduction to advanced statistical methods for the analysis of network dynamics. Topics include multilevel discrete-time event history analysis, relational event analysis and stochastic actor- oriented network models (SIENA). The workshop covers the theoretical foundation of these methods, but also gives hands-on instructions and examples for performing such analyses.

**Course material**

__28 - 29 November 2013__**- "Introduction to Social Network Analysis"**, two-day workshop, GESIS, Mannheim, Germany

The empirical study of social network dynamics and emergence of social structures is currently receiving considerable attention. For example, novel actor-oriented modeling strategies that can be used to study how network structures evolve, dramatically change the way scholars assess the social world. This workshop gives an introduction to the statistical analysis of social networks. Topics include: introduction to R, network centrality and centralization, visualization, random networks, conditional uniform graphs, quadratic assignment procedure, p2 models, exponential random graph models, stochastic actor-oriented network models (SIENA), modeling of relational events.

**Course material**

__May 2013__**- "Analytical Sociology"**, Stockholm University, Sweden, co-instructor with Prof. Peter Hedstrom

__18 April 2013__**- "Advanced Social Network Analysis",**one-day workshop CICC-UdeM, Montreal , Canada

9H - 15H30 Salle C-2059, Pavillon Lionel-Groulx

**Course material**

**2012**- "Introduction to Agent-Based Modeling and Social Network Analysis Using Stata", GESIS, Mannheim, Germany

**2012**- "ICS master class in Sociology", ICS Utrecht, Netherlands, workshop for PhD students, co-instructor with Prof. Michael Macy

**2011**- "Analysis of Longitudinal Social Network Data", University of Zurich and ETH Zurich, Switzerland, workshop at ASNA, teaching assistant for Johan Koskinen

**2010**- "Supervision of MSc thesis in Applied Statistics", University of Oxford, UK, co-instructor with Edoardo Gallo

**2010**- "Analytical Sociology", Department of Sociology, University of Oxford, UK, seminar for graduate students, teaching assistant for Prof. Peter Hedstrom

**2009**- "Soziale Dynamiken: Einfuehrung in Agent-Based-Modelling", University of Trier, Germany, seminar for third-year sociology students.

**2009**- "Practical Survey Analysis", University of Oxford, UK, summer school, teaching assistant for Prof. Anthony Heath and Jean Martin

**2009**- "Analysis of Social Networks using Ucinet and Siena", University of Oxford, UK, summer school, teaching assistant for Prof. Martin Everett and Prof. Tom A. B. Snijders

**2008**- "Sociological Analysis", University of Oxford, UK, seminar for graduate students, teaching assistant for Prof. Anthony Heath

**2007**- "Foundations of Sociology",University of Oxford, UK, reading group for graduate students

**2007**- "Social Stratification", Oxford Programme for Undergraduate Studies (OPUS), Oxford, tutorial for undergraduate student

**2007**- "Sociological Analysis: An Introduction". University of Trier, Germany, seminar for first-year sociology students

**2002**- "Introduction to Programming in JAVA", University of Trier, Germany, tutorial for first-year computer science students