Folksonomy as a Complex Network

Abstract

Folksonomy is an emerging technology that works to classify the information over WWW through tagging the bookmarks, photos or other web-based contents. It is understood to be organized by every user while not limited to the authors of the contents and the professional editors. This study surveyed the folksonomy as a complex network. The result indicates that the network, which is composed of the tags from the folksonomy, displays both properties of small world and scale-free. However, the statistics only shows a local and static slice of the vast body of folksonomy which is still evolving.

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• Analyzing and Modeling Real-World Phenomena with Complex Networks: A Survey of Applications
• Cluster Analysis for a Scale-Free Folksodriven Structure Network
• Folksodriven Structure Network
• Statistical Properties of Inter-arrival Times Distribution in Social Tagging Systems
• The Role of Tag Suggestions in Folksonomies