Prediction and visualization of social dynamics

• Forschungsstelle: INNOSUISSE
• Projektnummer: 10442.2;4 PFES-ES
• Projekttitel Englisch: Prediction and visualization of social dynamics

Kurzbeschreibung (Deutsch)

Prediction and visualization of social dynamics

Kurzbeschreibung (Englisch)

Prediction and visualization of social dynamics

Abstract (Deutsch)

In cooperation with ETH Zurich (Chair for Entrepreneurial Risks, Prof. Dr. Didier Sornette) and the University of Applied Sciences Northwestern Switzerland (Institute 4D¿Technologies and DataSpaces, Prof. Dr. Manfred Vogel), Amazee will develop and deploy an analysis platform to crawl, aggregate and visualize time series of people¿s web-surfing activities and connections. The dynamics based analysis will allow to identify relevance in emerging social trends and predict future behavior of large groups of interacting individuals. The predictions will be derived from mathematical modeling that allows for the simulation of social dynamics and epidemic word-of-mouth processes in social networks.

Abstract (Englisch)

In cooperation with ETH Zurich (Chair for Entrepreneurial Risks, Prof. Dr. Didier Sornette) and the University of Applied Sciences Northwestern Switzerland (Institute 4D¿Technologies and DataSpaces, Prof. Dr. Manfred Vogel), Amazee will develop and deploy an analysis platform to crawl, aggregate and visualize time series of people¿s web-surfing activities and connections. The dynamics based analysis will allow to identify relevance in emerging social trends and predict future behavior of large groups of interacting individuals. The predictions will be derived from mathematical modeling that allows for the simulation of social dynamics and epidemic word-of-mouth processes in social networks.