tagging systems and their effect on resource popularity austin wester

Tagging Systems and Tagging Systems and Their Effect on Their Effect on

Resource PopularityResource Popularity

Austin WesterAustin Wester

Background & Related WorkBackground & Related Work

Tag PurposesTag Purposes Social bookmarkingSocial bookmarking

Personal bookmarksPersonal bookmarks Store and retrieve resourcesStore and retrieve resources

Social tagging systemsSocial tagging systems Shared tags for particular resourcesShared tags for particular resources Each tag is a link to additional resources Each tag is a link to additional resources

tagged the same way by other userstagged the same way by other users


Taxonomy of Tagging SystemsTaxonomy of Tagging Systems System design and attributesSystem design and attributes

How the characteristics of a tagging system How the characteristics of a tagging system effects the content, the tags and the usageeffects the content, the tags and the usage

UsersUsers How their incentives and motivations affect How their incentives and motivations affect

the tagging systemthe tagging system


MethodologyMethodology

Gathering the InformationGathering the Information

Visual Studio .Net 2005Visual Studio .Net 2005 Flickr APIFlickr API Write a program to query Flickr.comWrite a program to query Flickr.com

ChallengesChallenges Allowed just under 1 query/second (55/min)Allowed just under 1 query/second (55/min) Gives 72000 images/day or 2.1 million in a Gives 72000 images/day or 2.1 million in a

monthmonth

Converting InformationConverting Information

Write script to separate data into multiple Write script to separate data into multiple bipartite networks in Pajek formatbipartite networks in Pajek format

Converting DataConverting Data

Image/tags by a few different categoriesImage/tags by a few different categories Separating into categories will be more accurateSeparating into categories will be more accurate Possibly separate categories into popular, neutral Possibly separate categories into popular, neutral

and unpopularand unpopular Image/CommentsImage/Comments Owners/ImagesOwners/Images Owners/CommentsOwners/Comments This will give me many bipartite graphs to This will give me many bipartite graphs to

perform several different studiesperform several different studies

Analyzing The DataAnalyzing The Data


New images will naturally have low number of New images will naturally have low number of views and will probably be removed from the views and will probably be removed from the studystudy

Flickr has a ‘Most Interesting’ section. I believe Flickr has a ‘Most Interesting’ section. I believe these are new images that are receiving a larger these are new images that are receiving a larger number of views than mostnumber of views than most

These can be analyzed to see if they have tags These can be analyzed to see if they have tags or not and if they have an affect on the number or not and if they have an affect on the number of views an image is receiving.of views an image is receiving.


Use Pajek, VS .net 2005Use Pajek, VS .net 2005


Find Degree, Betweenness and CentralityFind Degree, Betweenness and Centrality Of Images for each networkOf Images for each network

How many tags an image hasHow many tags an image has

Of Tags for each networkOf Tags for each network Will tell which tags are used most oftenWill tell which tags are used most often

Of Owners for each networkOf Owners for each network Tell how connected they areTell how connected they are Does this make a differenceDoes this make a difference


Find Coefficiency Find Coefficiency Image/Tags: see if images with a higher Image/Tags: see if images with a higher

coefficiency are more popularcoefficiency are more popular Image/Comments: see if images that are Image/Comments: see if images that are

commented on more are more popularcommented on more are more popular And so onAnd so on


Convert bipartite graphs into 1-modeConvert bipartite graphs into 1-mode


An image’s metadata contains number of An image’s metadata contains number of views and number of favoritesviews and number of favorites

The image’s popularity will be categorized The image’s popularity will be categorized based on a simple calculation. The based on a simple calculation. The number of favorites/number of views.number of favorites/number of views. Popular is the top 33% or > 66%Popular is the top 33% or > 66% Neutral is > 33% and < 67%Neutral is > 33% and < 67% Unpopular is <= 33%Unpopular is <= 33%

Questions To Be AnsweredQuestions To Be Answered

Owner to ImagesOwner to Images Broken down by owner popularityBroken down by owner popularity

See if users of high ranking has more popular See if users of high ranking has more popular images than users with low rankingimages than users with low ranking


Owners to commentsOwners to comments See if the number of comments left by users See if the number of comments left by users

on an owners profile is related to their on an owners profile is related to their popularitypopularity

If so then check to see if the popularity of the If so then check to see if the popularity of the users who left comments plays a role.users who left comments plays a role.


Owners to tagsOwners to tags Find out if there is any relation in a user’s Find out if there is any relation in a user’s

popularity based on the tags for their galleriespopularity based on the tags for their galleries Will do similar test and comparisons as beforeWill do similar test and comparisons as before


Owners to OwnersOwners to Owners Does a user’s friend’s popularity affect their Does a user’s friend’s popularity affect their

popularity?popularity? Try to compare those with mostly popular friends Try to compare those with mostly popular friends

to those with mostly unpopular (mostly non-active) to those with mostly unpopular (mostly non-active) friendsfriends


Images to commentsImages to comments Similar to Owners to commentsSimilar to Owners to comments Do the comments left play a role in the Do the comments left play a role in the

image’s popularity?image’s popularity? Again, if it does then does the popularity of the Again, if it does then does the popularity of the

users leaving the comments play a role?users leaving the comments play a role?


Images to most interestingImages to most interesting New images with a high number of viewsNew images with a high number of views Do they have tags or commentsDo they have tags or comments


Images to tagsImages to tags Find out if certain tags increase popularity for a Find out if certain tags increase popularity for a

particular categoryparticular category See if the number of tags create a changeSee if the number of tags create a change Find what set of distinct repeating tags emerge from a Find what set of distinct repeating tags emerge from a

large set of popular imageslarge set of popular images Do the same for Neutral and Unpopular imagesDo the same for Neutral and Unpopular images Compare to see if the same tags exist in more than Compare to see if the same tags exist in more than

one popularity setone popularity set Will give a fairly accurate indication of weather tags are Will give a fairly accurate indication of weather tags are

related to an image’s popularityrelated to an image’s popularity

ConclusionConclusion

Gathering image data on Flickr.comGathering image data on Flickr.com Examining multiple relationships among Examining multiple relationships among

images and image owners to see if there images and image owners to see if there are any relationshipsare any relationships

Images/TagsImages/Tags Owners/ImagesOwners/Images Other relationsOther relations

tagging systems and their effect on resource popularity austin wester

Documents