DYSONET
Coordinator
Prof. Panos Argyrakis, Aristotle University of Thesalniki, Greece.
Participants
- Germany: Justus-Liebig-Universitaet Giessen
- Israel: Bar-Ilan University
- Italy: Instituto Nazionale per la Fisica della Materia
- Portugal: Universidade de Aveiro
- Sweden: Stockholm University
- USA: Boston University
Description
DYSONET is applying mathematical principles to understand the dynamics of social networks. Study of real examples will improve understanding of how to optimize real-world networks for example in limiting the spread of epidemics Its interdisciplinary team aim to develop techniques for specific problems like the dynamics of crowd behavior. DYSONET participants will collect real-world data for social networks in Sweden, covering networks of people who share he same household, work at the same workplace, leave in the same building etc. Network models will be developed to allow study of robustness and the capacity for network flow. The team will make use of large scale computer simulation and grid computing, and develop new analytical numerical and simulation techniques. The analysis will make major advances in understanding complex human networks involving spread for example of information or disease.