MMCOMNET: Measuring and Modelling Complex Networks across Domains
Coordinator
Prof Dr. Felix Reed-Tsochas, University of Oxford, UK
Participants
- Germany: Technische Universitat Dresden
- Poland: Politechnika Warszawska
- France: INSEAD Business School
- Switzerland: Swiss Federal Institute of Technology Zurich
- Sweden: Stockholm University
Description
The MMCOMNET project utilizes a multidisciplinary approach to measure and model biological socil-economic and business datasets with the aim of predicting managing and designing behavior in wide range of real world networks. The specific examples were chosed forease of data collection and their promise as generic models. The biological system is fungal netwrk (one of the simplest leaving systems to shpw adaptive behavior), the main socio economic system is a supply chain network involving the flow f information, money and goods from manufacturing, distribution and reail organizations across Europe. The innovation systems involves datasets showing the clustering of high tech businesses as occurs in California. Another dataset is a comprehensive dataset of population and businesses in Stockholm of 10 year period. The participants are developing models which simulate the different combinations of agents and network dynamics that can account for desirable behavior. Criteria for choosing between alternative combinations provide insight into how agents and networks adapt and the trade-offs that occur between different networks function. Once the general principles governing complex networks are understood, steps can be taken to improve real-world networks.