The complex dynamics of collaborative tagging
By Harry Halpin, Valentin Robu, Hana Shepherd. The Web Conference, 2007
689 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/e1f5c097c0b6528ab2747d1b2c0d5c19853ed6b7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Olena Medelyan
- Eibe Frank
- Joemon M. Jose
- Ioannis Konstas
- Sophie Ahrens
- Vassilios M. Stathopoulos
- Ian H. Witten
- Paolo Ferragina
In Statistical and Nonlinear Physics
Citations in the corpus
- Human-competitive tagging using automatic keyphrase extraction (2009, background): “Much work has been done on describing the statistical properties of folksono-mies, such as tag distribution and co-occurrences (Halpin et al. , 2007; Sigurbjörnsson et al. , 2008; Sood et al. , 2007), but to our knowledge there has been none on assessing the actual quality of tags.”
- On social networks and collaborative recommendation (2009, background): “from 1 to 5) for the corresponding sub-matrix, in our case playcount ranges from 1 to 11640, following a power-law distribution common to human activities [2, 5, 8].”
- Recommender Systems (2012, background): “Despite the lack of imposed organization, shared vocabularies were shown to emerge in folksonomies [263], making them increasingly accessibile to advanced information filtering techniques.”