194.050 Social Network Analysis
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2018W, VU, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise

Aim of course

This course aims to provide insights into the structural analysis of social and information networks, particularly the World Wide Web. The participants should gain basic knowledge about network analysis methods and tools as well as their theoretical foundations.

Subject of course

Topics, which are covered in this course, include basic concepts in graph theory, important measures and metrics in network theory, community detection, social network analysis, the small-world experiment, the structure of the World Wide Web, the large-scale structure of networks, and processes on networks.

Additional information

First Session: October 16th, 2018

Note: Students in the Bachelor programme Business Informatics can only participate if they have at least 162 ECTS.

Workload for students (in hours):

  • Lecture Time: 15
  • Lab Assignments: 15
  • Project Work: 20
  • Preparation for Test: 25
  • Sum: 75

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue10:00 - 12:0002.10.2018 - 29.01.2019Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Thu15:00 - 17:0024.01.2019Seminarraum FAV 01 A (Seminarraum 183/2) Test (1. Termin)
Tue10:00 - 12:0005.02.2019EI 10 Fritz Paschke HS - BI Test (2. Termin)
Social Network Analysis - Single appointments
DayDateTimeLocationDescription
Tue02.10.201810:00 - 12:00Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Tue09.10.201810:00 - 12:00Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Tue16.10.201810:00 - 12:00Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Tue23.10.201810:00 - 12:00Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Tue30.10.201810:00 - 12:00Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Tue06.11.201810:00 - 12:00Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Tue13.11.201810:00 - 12:00Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Tue20.11.201810:00 - 12:00Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Tue27.11.201810:00 - 12:00Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Tue04.12.201810:00 - 12:00Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Tue11.12.201810:00 - 12:00Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Tue18.12.201810:00 - 12:00Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Tue08.01.201910:00 - 12:00Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Tue15.01.201910:00 - 12:00Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Tue22.01.201910:00 - 12:00Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Thu24.01.201915:00 - 17:00Seminarraum FAV 01 A (Seminarraum 183/2) Test (1. Termin)
Tue29.01.201910:00 - 12:00Seminarraum FAV 01 A (Seminarraum 183/2) Lecture
Tue05.02.201910:00 - 12:00EI 10 Fritz Paschke HS - BI Test (2. Termin)

Examination modalities

Exercises, project work and final test

Course registration

Begin End Deregistration end
17.09.2018 10:32 11.10.2018 23:59 31.10.2018 23:59

Curricula

Study CodeSemesterPrecon.Info
066 645 Data Science
066 926 Business Informatics

Literature

The lecture slides will be available on the Web.

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Aggarwal, C. C. (Ed.): Social Network Data Analytics. Springer, 2011.

Barabási, A.-L.: Network Science. E-Book, Work in Progress. http://barabasilab.neu.edu/networksciencebook/

Brandes, U., Erlebach, T.: Network analysis : methodological foundations. Springer, 2005.

Easley, D., Kleinberg, J.: Networks, crowds, and markets: reasoning about a highly connected world. Cambridge Univ. Press, 2010. http://www.cs.cornell.edu/home/kleinber/networks-book/

Hanneman, R. A., Riddle, M.: Introduction to social network methods. University of California, Riverside, 2005. http://www.faculty.ucr.edu/~hanneman/nettext/

Hansen, D. L., Shneiderman, B., Smith, M.. A.: Analyzing social media networks with NodeXL: insights from a connected world. Morgan Kaufmann, 2011.

Monge, P. R., Contractor, N. S.: Theories of communication networks. Oxford University Press, 2003.

Newman, M. E. J.: Networks: an introduction. Oxford Univ. Press, 2011.

Previous knowledge

Basic Knowledge of Linear Algebra, Calculus and Statistics

Language

English