This link has been bookmarked by 17 people . It was first bookmarked on 22 Aug 2007, by someone privately.
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07 Oct 11
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28 Sep 11
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05 Feb 11
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09 Feb 09
flyingpuddinga good review of tag cloud advantages/challenges, and a nice interactive demo of tags arranged according to similarity in usage (instead of alphabetical order)
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06 Feb 09
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26 Jun 08
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represent a whole bunch of tags as weighted lists
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he more often a tag has been used, the larger it will be displayed in the list. This can be used to both characterize single users, webpages, as well as whole communities.
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louds can also be used for navigation: Click one of the tags and you will come to a web page displaying all of my bookmarks matching this tag
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“big head” tags remain pretty constant over time and broadly characterize your interests, the “long tail” contains all the variety of things you encounter
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real information is contained.
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merely
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suitable
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alphabetical list order and visual messiness
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every tag’s position in a tag cloud is defined by its predecessor’s size and position
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jumping around once you start scaling tags
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suited to display the dynamical nature
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of tagging structures
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how tags appear and disappear
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25 Oct 07
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11 Oct 07
Thomas Vander WalA usable tag cloud for discovering connections between tag terms and object interest
visualization longtail informationarchitecture tagcloud tagging tags folksonomy flash metadata social tag del.icio.us datamining interaction design algorithm informationdesign coocurrance maps mapping perspective socialbookmarking socialnet socialsoftware
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22 May 07
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19 May 07
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15 May 07
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14 May 07
Howard RheingoldI calculate a two-dimensional map, which places frequently co-coccurring tags close together. Additionally, covariance values for all tags are stored, so I know exactly how “related” each tag is to the others.
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06 Feb 07
Chris Hardingmapping algorithm to analyse and display tag structures based on how tags occur together. Technically, it is based on a vector-space model, where each tagging action is assigned a point in a high-dimensional vector space. By applying the dimensionality re
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