The Structure of Collaborative Tagging Systems
Scott Golder, Bernardo A. Huberman
Abstract
Collaborative tagging describes the process by which many users add metadata in the form of keywords to shared content. Recently, collaborative tagging has grown in popularity on the web, on sites that allow users to tag bookmarks, photographs and other content. In this paper we analyze the structure of collaborative tagging systems as well as their dynamical aspects. Specifically, we discovered regularities in user activity, tag frequencies, kinds of tags used, bursts of popularity in bookmarking and a remarkable stability in the relative proportions of tags within a given url. We also present a dynamical model of collaborative tagging that predicts these stable patterns and relates them to imitation and shared knowledge.
Create a lesson
Related papers
Perception and Utilization of Data Carpentry Tools among Research Scholars at University of Kerala
Jagan B L, Sudhi S Vijayan, Renjith V R
From Triples to Cards: A Web Component for Human-Readable Linked Open Data
Puyu Wang, Hang Dong, Rui Zhao
LODox: A Web-Based Platform for Cultural Heritage Linked Data Discovery
Puyu Wang, Rui Zhao, Hang Dong
Truly Every Author is First Author: Equal-Width Superimposition by Minimising Visual Distortion
Peter Waldert, Benedikt Kantz, Thomas Köhler
Light Fidelity in Academic Libraries: A Radiant Journey to Light the Future
Jagan B L, Sudhi S Vijayan, Renjith V R et al.
What It Costs to Trust a Source: A Reproducible Method for Institutional Assessment of Author Disambiguation
Simon Porter