851-0586-03L  Applied Network Science: Social Media Networks

SemesterAutumn Semester 2020
LecturersU. Brandes
Periodicityevery semester recurring course
Language of instructionEnglish
CommentNumber of participant limited to 20



Courses

NumberTitleHoursLecturers
851-0586-03 SApplied Network Science: Social Media Networks
The seminar ends with a full-day conference on Friday, December 11 (subject to confirmation).
24s hrs
Thu/2w18:15-20:00LEE D 101 »
11.12.09:15-19:00HG E 33.1 »
U. Brandes

Catalogue data

AbstractWe study applications of network science methods, this semester in the domain of social media.
Topics are selected for diversity in research questions and techniques
with applications such as friendship on Facebook, re-tweeting on Twitter, or multi-channel networks on YouTube.
Student teams present results from the recent literature, possibly with replication, in a mini-conference.
ObjectiveNetwork science as a paradigm is entering domains from engineering to the humantities but application is tricky.
By examples from recent research on social media, students learn to appreciate that, and how, context matters.
They will be able to assess the appropriateness of approaches
for substantive research problems, and especially when and why quantitative approaches are or are not suitable.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 credits
ExaminersU. Brandes
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition possible without re-enrolling for the course unit.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

Places20 at the most
Waiting listuntil 03.10.2020

Offered in

ProgrammeSectionType
Data Science MasterInterdisciplinary ElectivesInformation
Doctoral Department of Humanities, Social and Political SciencesDoctoral and Post-Doctoral CoursesWInformation
GESS Science in PerspectiveSociologyWInformation