Self-organization in social tagging systems

Chuang LIU, Chi Ho YEUNG, Zi-Ke ZHANG

Research output: Contribution to journalArticlespeer-review

7 Citations (Scopus)

Abstract

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. Copyright © 2011 American Physical Society.
Original languageEnglish
Article number066104
JournalPhysical Review E
Volume83
Issue number6
DOIs
Publication statusPublished - Jun 2011

Citation

Liu, C., Yeung, C. H., & Zhang, Z.-K. (2011). Self-organization in social tagging systems. Physical Review E, 83(6). Retrieved from https://doi.org/10.1103/PhysRevE.83.066104

Fingerprint Dive into the research topics of 'Self-organization in social tagging systems'. Together they form a unique fingerprint.