Regensburg 2013 – scientific programme

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AGjDPG: Arbeitsgruppe junge DPG

AGjDPG 4: Big Data (joint with SOE)

AGjDPG 4.2: Invited Talk

Thursday, March 14, 2013, 10:00–10:30, H37

Network analysis literacy — •Katharina Anna Zweig — TU Kaiserslautern, Computer Science Department, Graph theory and complex network analysis, Gottlieb-Daimler-Str. 48, 67663 Kaiserslautern, Germany

Big data often comes in a form that relates objects or subjects to each other. Examples for this kind of data describe interactions between proteins or people, plane connections between cities, or references from articles to other articles. Relational data is best analyzed by network analytic measures which have been proven useful in very different disciplines; high hopes have been put in them to finally understand the complex systems surrounding us. While network analysis is often very successful, in this talk I will show that not all relational data should actually be represented as a network and that not all measures are likely to give reasonable results in all contexts. I will discuss the "trilemma of social network analysis" which puts an emphasis on matching the data and its network representation, the method to use, and the question to be answered.