Social Network Analysis

• Networks: definitions, terminology, matrix representation

• Network data in the social sciences

• R basics and network-related packages

• Graphical representation of network data

• Basic global and local measures

• Centrality measures

• Community structure

• Social capital and hierarchy

• Influence

Acquiring the fundamental theoretical background and practical skills to perform a quantitative analysis of network data.

The course will be held in a computer room, combining theory with its immediate application, mostly using the R language via the RStudio interface. Prior knowledge of R is not assumed. Additional free software may be used for visualisation.

Contribution au profil d'enseignement

Méthodes quantitatives.

Références, bibliographie et lectures recommandées

TBA

Contacts

Matteo GAGLIOLO

Méthode(s) d'évaluation

• Autre

Autre

Personal or group project consisting of an annotated analysis of a network dataset, to be presented and defended orally.

Langue(s) d'évaluation

• anglais
• français