Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
97 tokens/sec
GPT-4o
53 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Reuse, Temporal Dynamics, Interest Sharing, and Collaboration in Social Tagging Systems (1301.6191v1)

Published 25 Jan 2013 in cs.IR, cs.DL, cs.SI, and physics.soc-ph

Abstract: User-generated content is shaping the dynamics of the World Wide Web. Indeed, an increasingly large number of systems provide mechanisms to support the growing demand for content creation, sharing, and management. Tagging systems are a particular class of these systems where users share and collaboratively annotate content such as photos and URLs. This collaborative behavior and the pool of user-generated metadata create opportunities to improve existing systems and to design new mechanisms. However, to realize this potential, it is necessary to understand the usage characteristics of current systems. This work addresses this issue characterizing three tagging systems (CiteULike, Connotea and del.icio.us) while focusing on three aspects: i) the patterns of information (tags and items) production; ii) the temporal dynamics of users' tag vocabularies; and, iii) the social aspects of tagging systems.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (5)
  1. Elizeu Santos-Neto (5 papers)
  2. David Condon (1 paper)
  3. Nazareno Andrade (6 papers)
  4. Adriana Iamnitchi (34 papers)
  5. Matei Ripeanu (19 papers)
Citations (4)

Summary

We haven't generated a summary for this paper yet.