A semantic social network analysis model for knowledge sharing recommendations.
Résumé
The European Network of Living Labs is now connecting stakeholders from 24 countries across Europe, America and Asia. The Living Labs are individually focused on particular knowledge areas, common to several Living Labs. To avoid redundancies and improve the over-all performance, we propose to use a static and semantic model of social networks analysis. Our model enables the discovery and ranking of central or intermediate communities/actors involved in some similar knowledge domains, named as keywords, within the global network. A first experiment with an operational web application is successful. Our work is funded by the French State Secretariat for prospective and development of the digital economy.