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CABDyN stands for Complex Agent-Based Dynamic Networks, and reflects our shared interest in network dynamics and agent-based models of complex systems across a broad range of application domains. CABDyN brings together a truly multi-disciplinary group of researchers in more than ten University Departments in Oxford, ranging from the physical, biological and computational sciences to the social, economic and political sciences. We have close links to a number of overlapping and related activities and groups, including the Oxford Martin School, the Social and Evolutionary Neuroscience Research Group in the Experimental Psychology Department, and the Nuffield Network of Network Researchers (NNNR) at Nuffield College.


CABDyN NEWS

The beauty of high-speed trading
Austin Gerig writes about the benefits of high-frequency trading following the publication of Michael Lewis’ book Flash Boys: A Wall Street Revolt. Gerig explains that “high-frequency trading synchronizes prices across global financial markets. It knits exchanges together into one gigantic marketplace where the prices of financial securities move in unison”. Read more
3 April 2014

Persistence of social signatures in human communication
CABDyN members recently published a study of small group of individuals tracked over 18 months. They combined survey data and details from mobile phone call records to study the communication patterns and social ties of the individuals over this period. Read more
27 January 2014

Black Rhino - A Financial Network Multi Agent Simulator
black_rhino is an open source easy-to-use-and-adapt financial network multi agent simulation (MAS) that serves two purposes. First, it can be used as a practical tool to simulate and analyse a model banking system. This is particularly handy for central banks and policy makers, as black_rhino fills a gap in the policy-toolbox. Second, and perhaps more importantly, it is a python module that can be easily adapted, changed, and modified for research purposes. It is intended to reduce the amount of work necessary to write a financial MAS and hence allows researchers to focus on the economic questions instead of worrying about code design patterns and basic functionality. The software is open source and published under the GNU GPL v3. You can find the latest version at sourceforge.
2 August 2012

 

Seminars

CABDyN

Nuffield Social Network Analysis Seminar

Cambridge Networks Day 2014
May 23, Cambridge


Courses

Social Network Analysis

 

 

s University of Oxford