DagSemProc.08391.8.pdf
- Filesize: 48 kB
- 2 pages
Document
Information-Theoretic Models of Tagging
Author
-
Part of:
Volume:
Dagstuhl Seminar Proceedings, Volume 8391
Series: Dagstuhl Seminar Proceedings (DagSemProc) - License:
Creative Commons Attribution 4.0 International license
- Publication Date: 2008-12-22
Cite As Get BibTex
Harry Halpin. Information-Theoretic Models of Tagging. In Social Web Communities. Dagstuhl Seminar Proceedings, Volume 8391, pp. 1-2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008)
https://doi.org/10.4230/DagSemProc.08391.8
Abstract
In earlier work, we showed using Kulback-Leibler (KL) divergence that tags form a power law distribution very quickly. Yet there is one major observed deviation from the ideal power law distribution for the top 25 tags, a large "bump" in increased frequency for the top 7-10 tags. We originally hypothesized that the "bump" in the data could be caused by a preferential attachment mechanism. However, an experiment that tested both feedback and no-feedback conditions over tagging (200+ subjects) shows that the power law distribution arises regardless of any feedback effect. We hypothesize that an information-theoretic analysis of tags lead to a power law without feedback.
Subject Classification
Keywords
- Tagging information theory feedback
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads