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Introduction à l’analyse des réseaux sociaux (SNA)


12 au 14 octobre 2022


Eva Fernández G. G. (Haute école de travail social Genève, collaboratrice scientifique), Mihaela Nedelcu (professeure titulaire/MER, UNINE), Livia Tomas (doctorante à l'Université de Neuchâtel)


Louise Ryan (Director of the Global Diversities and Inequalities Research Centre, London Metropolitan University), Miranda Jessica Lubbers (Associate Professor (Profesora Agregada), Department of Social and Cultural Anthropology, Director of the COALESCE Lab, Autonomous University of Barcelona)


This workshop provides a balanced introduction to social network analysis, including theoretical concepts and network measures, using software and interpreting results. The workshop aims to familiarise and train participants to applied social network analysis. This includes an introduction to both qualitative and quantitative methodologies, as well as an introduction to some of the most recent developments in field.

Social network analysis focuses on relationships or connections between the units of analysis (e.g. relationships between individuals, organisations or concepts). It allows to understand how the relational configurations in which social actors are embedded give them opportunities or generate constraints.

Furthermore, the workshop offers a theoretical and practical study to social network analysis at the organisational and individual level, including both sociometric (complete networks) and egocentric networks analysis. During the sessions we will focus on theoretical concepts (such as structural holes and social capital), and relate them to specific network measures (such as centrality, density and subgroup analyses). We will discuss how to compute these measures, as well as how to obtain results using packages in R and UCINET.

The current introductory module on applied social network analysis is open to PhD students working with different methodological perspectives (qualitative, quantitative and mixed). In addition, participants will have the opportunity and are encouraged to bring their own data, in order to discuss the most suitable perspectives for their own research. At the end of this workshop, participants will be able to design a relational research (network) and interpret their own results.

Empirically, the workshop could address for instance some of the following research questions:

- What are the types of social relationships that structure ego-network family configurations?

- What is the role of social networks in the integration of vulnerable people? What types of relationships facilitate their integration?

- How do organisational actors coordinate their services, i.e. what are their collaborative links and network structures?

- How do intergenerational solidarity relationships evolve over time?

- What network structures promote collective action among organisations?

Target audience: This module is aimed at all doctoral students, regardless of the stage of their thesis, who wish to integrate a relational perspective into their research field.


A déterminer


Tentative timeline and thematic focus: 


Session 1 – Sociometric analysis; 1 day

1- Introduction to levels of analysis in social network analysis: Discussion of research questions according to levels of analysis.

2- Introduction and discussion of basic concepts in social network analysis such as centrality, density, centralization and proximity.

3- Practical application of the concepts using software (R or Ucinet).  

4- Introduction to subgroup analysis and discussion of measures such as homophily, heterophily and cliques.

5- Practical application of subgroup analysis.


Session 2 – Data collection; 0.5 day

1- Data collection strategies for sociometric analysis and egocentric analysis

2- Keys instruments and software for the data collection

3- Challenges to data collection in qualitative and quantitative network approaches


Session 3 – Egocentric analysis; 1 day

1- Introduction to egocentric and discussion of research questions.

2- Discussion of concepts and measures based on alter-ego and alter-alter relationships.

3- Practical application and analysis of most common egocentric measures.

4- Discussion of measures such as homophily, heterogeneity and constraint index.

5- Practical application and analysis of ego-network networks.


Modalité de participation financière pour les doctorant-e-s CUSO: CHF 20.-



Délai d'inscription 01.09.2022
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