Détails

Faculté	Faculté des sciences économiques et sociales et du management
Domaine	Economie politique
Code	UE-EEP.00328
Langues	Anglais
Type d'enseignement	Cours
Cursus	Master
Semestre(s)	SP-2024

Horaires et salles

Horaire résumé

Jeudi 08:15 - 11:00, Hebdomadaire (Semestre de printemps)

Enseignement

Enseignants	Büchel Berno
Assistants	Droz Bénédicte
Description	Course Description: WhatsApp and TikTok are two well-known examples of social networks. However, the importance of relationships is not restricted to the online world and, similarly, the term social networks includes various applications both online and offline. Offline examples range from ancient marriage networks to R&D collaborations between firms. The analysis of social networks has become one of the liveliest fields of research in economics, as well as in other (social) sciences. This course gives an introduction into this field and thereby puts emphasis on economic models of network formation.   Outline: 1. Introduction to social networks 2. Analyzing social networks 3. Strategic network formation 4. Outlook: behavior on networks
Objectifs de formation	Students are supposed to… a) learn how to (mathematically) describe and analyze social networks, b) understand a few of the most important ideas developed in network science, and c) learn how to analyze microeconomic models of network formation.
Softskills	Non
Hors domaine	Non
BeNeFri	Oui
Mobilité	Oui
UniPop	Non

Documents

Bibliographie

• Jackson, M.O. (2008): Social and Economic Networks. Princeton Univ. Press. (Main Textbook) • Bramoulle, Y., Galeotti, A., & Rogers, B. (2016). The Oxford Handbook of the Economics of Networks. Oxford University Press. • Easley, D. and Kleinberg, J. (2011): Networks, Crowds, and Markets: Reasoning About a Highly Connected World. Cambridge Univ. Press.

Examen écrit - SP-2024, Session d'été 2024

Date	11.06.2024 11:00 - 12:00
Mode d'évaluation	Par note
Description	Examination time: 60 Min.

Examen écrit - SP-2024, Session de rattrapage 2024

Date	29.08.2024 08:30 - 09:30
Mode d'évaluation	Par note
Description	Examination time: 60 Min.