Could not be found
The class is held in German, but can be held in English if need be. All material will be in English.

Description of the course

Humans are surrounded with and even composed of very complex systems: our global finance system and our brain are only two of the most important examples of complex systems on which we depend. Complex systems are difficult to analyze in their entirety, but complex networks that are derived from them promise to be more amenable to analysis. This lecture is directed to two groups of people: Our lecture is held in conjunction with the lecture of Professor Johannes Glückler called "Einführung in die soziale Netzwerkanalyse", on Mondays, 11:15-12:45. His lecture will focus on the presentation of various network analytic measures and their application to economic and social network data. Our lecture will focus on the different phases of any network analytic process:
  1. Generation of complex networks as a proxy of complex systems
  2. Formulating the question
  3. Choosing the substructure of interest
  4. Designing or choosing the most suitable algorithm to determine the significance of the structure
  5. Compare with null-model
  6. Build new model that explains differences
To learn more about network analytic topics, also have a look at our website for a compact course on network analysis held in summer 2010.

Location: OMZ (INF 350), R UO13

Literature

  1. Networks, Crowds, and Markets: Reasoning About a Highly Connected World by David Easley and Jon Kleinberg, Cambridge University Press, 2010
  2. Networks: an Introduction by M.E.J. Newman, Oxford University Press, 2010
  3. Social and Economic Networks by Matthew O. Jackson, Princeton University Press, 2010
  4. Social Network Analysis by Wassermann and K. Faust, Cambridge University Press, 1994
  5. Statistical Analysis of Network Data by E. Kolazcyk, Springer Verlag, 2009
  6. Various scientific articles