The evolution of the Web and its applications has undergone in the last few years a mutation towards technologies that include the social dimension as a first class entity. We are witnessing in the evolution of the web from the web 1.0 to web 2.0 to web 3.0 and eventually web 4.0 that the users, their interactions and the emerging social networks are in the center of this evolution. The web also exhibits all the characteristics of a complex system. These complex systems properties and this social dimension must be taken into consideration in the design and the development of new web applications. Let us consider the case of collaborative tagging systems. These systems are an example of complex, self-organized and socially aware systems. The multi-agent systems paradigm coordinated by self-organizations mechanisms was used in an effective way for the design and modeling of the complex systems. Current collaborative tagging systems do not take full advantage of the characteristics of complex systems, especially in adapting to their environment and the emergence of new features. In this thesis, we propose a model for the design and development of a new collaborative tagging system MySURF (My Similar Users, Resources, Folksonomies), using a multi-agent system approach governed by the coevolution of the social and spatial organization of the agents. We show how the proposed system offers several new features that can improve current collaborative tagging systems.
Coevolution of social and spatial organizations in multi-agent systems : application to collaborative tagging systems