Self-organization in multi-agent systems
The Knowledge Engineering Review
The complex dynamics of collaborative tagging
Proceedings of the 16th international conference on World Wide Web
Measurement and analysis of online social networks
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
The web from a complex adaptive systems perspective
Journal of Computer and System Sciences
Network properties of folksonomies
AI Communications - Network Analysis in Natural Sciences and Engineering
ESAW'05 Proceedings of the 6th international conference on Engineering Societies in the Agents World
Folkview: a multi-agent system approach to modeling folksonomies
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
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Collaborative tagging systems are an example of socially-aware, self-organising, complex systems. The multi-agent systems paradigm coordinated by self-organisation mechanisms has been used as an effective way for the design and modeling of such systems. Existing tagging systems do not take full advantage of their complex systems characteristics, especially in adapting to their environment and allowing emergence. In this paper, we propose a model for designing a tagging system, using a multi-agent system approach, governed by the co-evolution of the social and spatial organisations of the agents. We show how the proposed system has new functionalities that could enhance current collaborative tagging systems.