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.
First Session: October 1st, 2019
On October 8th the course will not take place!
Note: Students in a Bachelor programme 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
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.
