University of Konstanz
Prof. Dr. Ulrik Brandes

Network Modeling (Winter 2011/2012)

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Social network analysis, i.e., the joint analysis of actors and relations among them, rapidly gains importance in many scientific and commercial applications. Examples range from studies of organizational and communication networks over to the analysis of Web-based user interaction. Statistical approaches in social network analysis are applied to model, estimate, and predict social interaction and behavior based on empirical data.
In this course you will learn mathematical and methodological foundations for modeling social networks. In the first part we treat models for time-independent networks and in the second part we model the evolution of networks over time.
This course is part of a set of three related lectures offered by the Algorithmics group: Network Analysis, Network Dynamics, and Network Modeling. Note that these courses can be taken independently of each other and in any order.
Prerequisites Knowledge of basic mathematical concepts, as well as mathematical soft skills, i.e., the ability to understand and work with mathematical definitions, theorems, and proofs.


Lecture (J. Lerner, V. Amati) Wed 14:15-15:45 h (A 704)
Tutorial (B. Nick) Wed 12:30-14:00 h (Z 1003) - fortnightly
Exams (oral) February 15th and April 18th (E 203)


New assignments will be placed online shortly after the lecture.

Solutions are due on Tuesdays, 10am (if there is a tutorial the next day), or Wednesdays 14:15h (otherwise).

Place solutions on the box in front of E203, or send an email with attached pdf --- if permitted by the deadline, solutions can be handed over at the beginning of the lecture, too.

no. online due tutorial download
0 19.10.2011 25.10.2011 26.10.2011 PDF
1a 26.10.2011 02.11.2011 09.11.2011 PDF
1b 02.11.2011 08.11.2011 09.11.2011 PDF
2a 09.11.2011 16.11.2011 23.11.2011 PDF
2b 16.11.2011 22.11.2011 23.11.2011 PDF
3a 23.11.2011 30.11.2011 07.12.2011 PDF
3b 30.11.2011 06.12.2011 07.12.2011 PDF
4a 07.12.2011 14.12.2011 21.12.2011 PDF
4b 15.12.2011 20.12.2011 21.12.2011 PDF
5a 12.01.2012 18.01.2012 25.01.2012 PDF
5b 18.01.2012 24.01.2012 25.01.2012 PDF
6a 26.01.2012 01.02.2012 08.02.2012 PDF
6b 01.02.2012 08.02.2012 08.02.2012 PDF


Lecture notes


Code example


(list will be extended)

Lecture topics

Background and further reading

Further information