Information détaillée concernant le cours
Titre | Introduction to Social Network Analysis |
Dates | 12-14 October 2022 |
Lang |
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Organisateur(s)/trice(s) | Mihaela Nedelcu (Titular Professor of Sociology/MER, University of Neuchâtel – Neuchâtel, Switzerland), Eva Fernández G. G. (Postdoc scientific collaborator II, University of Geneva – Geneva, Switzerland), Livia Tomas (PhD student, University of Neuchâtel – Neuchâtel, Switzerland) |
Intervenant-e-s | James Hollway (Associate Professor, Geneva Graduate Institute (IHEID) – Geneva Switzerland), Miranda Lubbers (Associate Professor, Autonomous University of Barcelona (UAB) – Barcelona, Spain), Louise Ryan (Senior Professor of Sociology, London Metropolitan University (London MET) – London, United Kingdom), Eva Fernández G. G. (Postdoc scientific collaborator II, University of Geneva – Geneva, Switzerland) |
Description | 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:
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Programme | Workshop program:
Session 1: General introductory session Day 1 - Wednesday 12, October – Afternoon (14:00 – 19:00) Instructors: James Hollway (IHEID), Eva Fernández G. G. (UNIGE), Miranda Lubbers (UAB), Louise Ryan (London MET) 13:30 – 14:00 Welcome 14:00 – 14:15 Workshop introduction. 14:15 – 15:15 Students presentations (~5 min each):
Coffee break 15:35 – 17:00 Doing social network research:
General presentation on the presenters' research interests and methods. Short presentation of a research question, concepts, design and methods (including the data types) based on own projects. Break – 15 min 17:15 – 19:00 Introduction to social network analysis:
Exercise: Students are tasked with coming up with 2-3 'networks' questions in their field and presenting 1 the next day Workshop dinner Day 2 - Thursday 13, October – Morning (8:30 – 9:15) Instructors: James Hollway (IHEID), Eva Fernández G. G. (UNIGE), Miranda Lubbers (UAB), Louise Ryan (London MET) 08:30 – 09:15 Students share the research questions they have thought about (discussion with all instructors in small groups)
Session 2: Sociometric analysis and data collection strategies Instructors: James Hollway (IHEID) and Eva Fernández G. G. (UNIGE) Day 2 - Thursday 13, October – Morning (09:15 – 12:30) 09:15 – 10:00 Introduction to describing networks:
10:00 – 10:45 Practical: Importing and visualizing networks in R. Coffee break – 15 min 11:00 – 12:00 Introduction and discussion of centrality and centralization:
12:00 – 12:30 Practical: Centrality (group exercise). 12:30 – 14:00 Lunch Day 2 - Thursday 13, October – Afternoon (14:00 – 18:00) 14:00 – 15:00 Introduction and discussion of density and cohesion:
15:00 – 15:30 Practical: Describing networks in R. Coffee break – 15 min 15:45 – 16:45 Homophily and testing:
16:45 – 17:15 Practical: Homophily and testing in R. Break – 15 min 17:30 – 18:00 Outlook on inferential methods:
Workshop dinner
Session 3: Egocentric analysis Instructors: Miranda Lubbers (UAB) and Louise Ryan (London MET) Day 3 – Friday 14, October – Morning (8:30-12:30) 08:30 – 9:30 Introduction to egocentric network analysis and discussion of research questions. 09:30 – 10:30 - Discussion of theoretical concepts in personal network analysis:
Coffee break – 15 min 10:45 – 11:45 Introduction to egocentric analysis qualitative approach (Telling Network Stories). 11:45 – 12:30 Introduction to egocentric analysis quantitative approach. 12:30 – 14:00 Lunch Day 3 – Friday 14, October – Afternoon (14:00-17:00) 14:00 – 15:00 Discussion of egocentric measures:
Coffee break – 15 min 15:15 – 16:45 Practical application and analysis of ego-network networks (students will use a sociogram to map and analyze each other's personal networks). CUSO - PhD Workshop wrap-up/farewell |
Lieu |
Crêt-Berard |
Information | Target audience: Doctoral students from a Swiss-French university, regardless of the stage of their thesis or their knowledge of SNA, who are interested to integrate a relational perspective into their research through a qualitative or a quantitative approach. Type of workshop format: Residential workshop over two and a half days with two nights on site. Teaching language: English Requirements: Install R, RStudio, and the R packages 'igraph' and 'migraph' from CRAN. |
Frais | Modalité de participation financière pour les doctorant-e-s CUSO: CHF 20.- |
Places | 15 |
Délai d'inscription | 28.09.2022 |

