Emergence of consensus and shared vocabularies in collaborative tagging systems

@article{Robu2009EmergenceOC,
  title={Emergence of consensus and shared vocabularies in collaborative tagging systems},
  author={V. Robu and Harry Halpin and Hana Shepherd},
  journal={ACM Trans. Web},
  year={2009},
  volume={3},
  pages={14:1-14:34}
}
This article uses data from the social bookmarking site del.icio.us to empirically examine the dynamics of collaborative tagging systems and to study how coherent categorization schemes emerge from unsupervised tagging by individual users. First, we study the formation of stable distributions in tagging systems, seen as an implicit form of “consensus” reached by the users of the system around the tags that best describe a resource. We show that final tag frequencies for most resources converge… 
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References

SHOWING 1-10 OF 84 REFERENCES
The complex dynamics of collaborative tagging
TLDR
A generative model of collaborative tagging is produced in order to understand the basic dynamics behind tagging, including how a power law distribution of tags could arise and how tag co-occurrence networks for a sample domain of tags can be used to analyze the meaning of particular tags given their relationship to other tags.
Semiotic dynamics and collaborative tagging
TLDR
A stochastic model of user behavior embodying two main aspects of collaborative tagging, a frequency-bias mechanism related to the idea that users are exposed to each other's tagging activity and a notion of memory, or aging of resources, in the form of a heavy-tailed access to the past state of the system.
Position Paper , Tagging , Taxonomy , Flickr , Article , ToRead
In recent years, tagging systems have become increasingly popular. These systems enable users to add keywords (i.e., “tags”) to Internet resources (e.g., web pages, images, videos) without relying on
Usage patterns of collaborative tagging systems
TLDR
A dynamic model of collaborative tagging is presented that predicts 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.
Collaborative Tagging and Semiotic Dynamics
TLDR
A stochastic model of user behavior embodying two main aspects of collaborative tagging: a frequency-bias mechanism related to the idea that users are exposed to each other's tagging activity and a notion of memory - or aging of resources - in the form of a heavy-tailed access to the past state of the system.
Emergence of consensus and shared vocabularies in collaborative tagging systems
This article uses data from the social bookmarking site del.icio.us to empirically examine the dynamics of collaborative tagging systems and to study how coherent categorization schemes emerge from...
Folksonomies-Cooperative Classification and Communication Through Shared Metadata
This paper examines user-generated metadata as implemented and applied in two web services designed to share and organize digital media to better understand grassroots classification. Metadata data
Using Tags and Clustering to Identify Topic-Relevant Blogs
TLDR
It is demonstrated how tags provide useful, discriminating information where the blog corpus is initially partitioned using a conventional clustering technique, and concluded that tags have a key auxiliary role in refining and confirming the information produced using typical knowledge discovery techniques.
tagging, communities, vocabulary, evolution
TLDR
A user-centric model of vocabulary evolution in tagging communities based on community influence and personal tendency is presented and evaluated in an emergent tagging system by introducing tagging features into the MovieLens recommender system.
Can social bookmarking improve web search?
TLDR
It is concluded that social bookmarking can provide search data not currently provided by other sources, though it may currently lack the size and distribution of tags necessary to make a significant impact.
...
1
2
3
4
5
...