851-0254-00L  Network Science Project

SemesterFrühjahrssemester 2020
DozierendeU. Brandes, C. Stadtfeld
Periodizitätjährlich wiederkehrende Veranstaltung
KommentarIt is advisable to take at least one of 851-0252-06 Introduction to Social Networks, 851-0252-15 Network Analysis, or 851-0252-13 Network Modeling beforehand.

Proficiency in programming and data analysis are helpful but can be compensated for by a firm understanding of the foundations relevant for the particular study.


851-0254-00 PNetwork Science Project2 Std.U. Brandes, C. Stadtfeld


KurzbeschreibungStudy project involving network data in a selected field.
LernzielPractical experience with, and a contextual understanding of, the links between a research question, domain-specific theory, and computational methods in network science.
InhaltIndividually or in small groups, students carry out a project in which an original research question is addressed using network data. While network approaches are increasingly common in domains from archaeology and digital media to transportation and zoology, applications are often driven by the availability of (found, observational) data.

Special emphasis is therefore placed on the consideration of domain-specific theory and the possibility to adapt data collection and mathematical methods accordingly. Studies may vary by domain of interest and the relative importance of theory, data, methods, implementation issues, and other aspects. In particular, the focus may be on data collection instruments or theory-inspired method development and implementation.
Voraussetzungen / BesonderesProject topics will be introduced during an initial meeting on Thursday, Feburary 20, 17:15-18:45, in WEP J 11. Subsequent meetings with the respective project teams will be by appointment.


Information zur Leistungskontrolle (gültig bis die Lerneinheit neu gelesen wird)
Leistungskontrolle als Semesterkurs
ECTS Kreditpunkte3 KP
PrüfendeU. Brandes, C. Stadtfeld
Formbenotete Semesterleistung
RepetitionRepetition nur nach erneuter Belegung der Lerneinheit möglich.


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Doktorat Departement Geistes-, Sozial- und StaatswissenschaftenLehrangebot Doktorat und PostdoktoratWInformation