The interactions of many agents in a system can be abstracted as dynamical networks. Systems can be as diverse as the gene regulatory network of a living organism or the trading of goods among thousands of market participants. Certain functions or behavioral patterns of the agents leave traces in the topology of such networks. The specific function or behavior of an individual agent in a network is, however, generally unknown. The goal of my research is hence to detect patterns in the topology of the interactions and infer the function and properties of agents from these patterns. In order to solve this inference problem I apply methods from statistical mechanics. More ...
During the Spring Meeting of the German Physical Society from March 22-28 2009 in Dresden, I organised a joint Symposium called
Data Analysis in Complex Systems: From Data to Models together with Thilo Gross and Holger Kantz.
- since 2006 Post-Doc at TP III
- 2006 PhD in Theoretical Physics, Bremen University, Supervisor: Prof. Dr. S. Bornholdt
- 2003 Diploma (Masters) in Physics at Humboldt-University, Berlin
- J.R. and D. R. White, "Role Models for Complex Networks", Eur. Phys. J. B 60, 217-224 (2007)
- J.R. and S. Bornholdt, "Detecting Fuzzy Community Structures in Complex Networks with a q-state Potts Model", Phys. Rev. Lett. 93, 218701 (2004)
- J.R. and S. Bornholdt, "Partitioning and Modularity of Graphs with arbitrary Degree Distribution", Phys. Rev. E 76, 015102(R) (2007)
- J.R. and S. Bornholdt, "Clustering of sparse data via network communities - a prototype study of a large online market", J. Stat. Mech. (2007) P06016
- Complete List of Publications