Flickr Tags Network
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Flickr Tags Network Mustafa Kilavuz
description
Flickr Tags Network. Mustafa Kilavuz. Tags. A tag is a keyword Search , spam detection, reputation systems, personal organization and metadata. Usage. Social bookmarking Personal bookmarks Allows users to store and retrieve resources Social tagging systems - PowerPoint PPT Presentation
Transcript of Flickr Tags Network
Flickr Tags NetworkMustafa Kilavuz
TagsA tag is a keywordSearch, spam detection,
reputation systems, personal organization and metadata
UsageSocial bookmarking
◦Personal bookmarks◦Allows users to store and retrieve
resourcesSocial tagging systems
◦Shared tags for particular resources◦Each tag is a link to additional
resources tagged the same way by other users
◦Folksonomy: popular tags
Youtube
Delicious
Last.fm
Last.fm
Last.fm
Flickr
Vocabulary ProblemDifferent users use different terms to describe
the same thingsPolysemy: A single word has multiple meaningsSynonymy: Different words have the same
meaningAbstraction: Tagging a resource in different levels
of abstraction◦ Animal, cat, Persian cat, Felis silvestris catus longhair
PersianDifferent languagesMissing context: Tags that could not be related
with the images by others◦ Holiday, me, friends, a person’s name
Tag Usage on FlickrThe tag usage is not mandatory
in Flickr.User can tag their friends’
photos. But within 58 million tag observed, the overwhelming majority are owner tags.
Most people has very few distinct tags while a small group has extremely large sets of tags.
Tag vocabulary size across the set of users
Growth of distinct tags10 users are randomly chosen
◦Frequent uploaders ( > 100 photos)◦Frequent taggers ( > 100 tags)
The number of distinct tags are observed as the number of photos uploaded increases.
Growth of distinct tags
Vocabulary Formation
Vocabulary overlap distribution for random users and contacts
Tag frequency distribution in Flickr
Number of tags per photo in Flickr
Information from a Flickr PhotoUseful
◦User◦Upload date◦Tags◦View count◦Groups
Other◦Title◦Description◦Comments
Data Extraction Methodhttp://www.flickr.com/services/api
/Iterate on each user
◦Iterate on each public photo of the user
◦Get all contacts and group information
Iterate on each group◦Iterate on each photo in the group
Tripartite Network Modelpageperson
tag
• Can project onto bipartite graphs• person – tag• tag – page• person – page
• Can project onto one-mode graphs• person – person• tag – tag• person - page
From Lada Adamic
A bipartite model
Tag Network Model
BuildingSky
Light
Blue
CloudWindow
3410
4
54 28
23
80
12
2
aTagsLife
GeotagsAdditional place informationSpatial distribution, places
◦San Francisco, museumTemporal distribution, events
◦Burst of tagging in a small time interval
ClustersStrongly connected tagsFlickr uses for years for searching
What we can do..Investigate clusters to get
information about◦Events and their relations◦Interests and their relations◦Etc.
Tag Categories
Tag Categories
QUESTIONS?
