Self-organization in social tagging systems


Individuals often imitate each other to fall into the typical group, leading to a self-organized state of typical behaviors in a community. In this paper, we model self-organization in social tagging systems and illustrate the underlying interaction and dynamics. Specifically, we introduce a model in which individuals adjust their own tagging tendency to imitate the average tagging tendency. We found that when users are of low confidence, they tend to imitate others and lead to a self-organized state with active tagging. On the other hand, when users are of high confidence and are stubborn to change, tagging becomes inactive. We observe a phase transition at a critical level of user confidence when the system changes from one regime to the other. The distributions of post length obtained from the model are compared to real data, which show good agreement.

Publication DOI:
Additional Information: ©2011 American Physical Society. Self-organization in social tagging systems. Chuang Liu, Chi Ho Yeung, and Zi-Ke Zhang. Phys. Rev. E 83, 066104 – Published 9 June 2011
Uncontrolled Keywords: Condensed Matter Physics,Statistical and Nonlinear Physics,Statistics and Probability
Publication ISSN: 1550-2376
Last Modified: 25 Mar 2024 08:14
Date Deposited: 14 Mar 2016 14:40
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
http://journals ... sRevE.83.066104 (Publisher URL)
PURE Output Type: Article
Published Date: 2011-06-09
Authors: Liu, Chuang
Yeung, Chi Ho
Zhang, Zi-Ke



Version: Accepted Version

| Preview

Export / Share Citation


Additional statistics for this record