2011/02/19 by Chuang Liu, Chi Ho Yeung, Zi‐Ke Zhang +1
Computer Science · Physics and Astronomy · Psychology · Social Sciences · #Algorithm #Artificial intelligence #Complex Network Analysis Techniques #Computer science #Evolutionary Game Theory and Cooperation #Opinion Dynamics and Social Influence #Psychology #Self-confidence #Self-organization #Social psychology #State (computer science) #Tag system #cs.SI #physics.soc-ph
paper · pdf · doi:10.1103/physreve.83.066104
published as Physical Review E 83, 066104 (2011) · 6 pages, 6 figures
arxiv created 2011/02/19 · openalex publication_date 2011/06/09 · arxiv updated 2011/06/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
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.