Paper Info
Title
Visualizing tags over time
Abstract
ABSTRACT We consider the problem of visualizing the evolution of tags within the Flickr (flickr.com) online image sharing com- munity. Any user of the Flickr service may,append,a tag to any photo in the system. Over the past year, users have on average added,over a million tags each week. Under- standing the evolution of these tags over time is therefore a challenging task. We present a new approach based on a characterization of the most interesting tags associated with a sliding interval of time. An animation provided via Flash in a web,browser allows the user to observe and interact with the interesting tags as they evolve over time. New algorithms and data structures are required to sup- port the ecient,generation of this visualization. We com- bine a novel solution to an interval covering problem with extensions to previous work on score aggregation in order to create an ecient,backend system capable of producing visualizations at arbitrary scales on this large dataset in real time. Categories and Subject Descriptors
Year
DOI
Venue
2007
10.1145/1255438.1255439
ACM Transactions on the Web (TWEB)
Keywords
Field
DocType
tags,challenging task,visualizing tag,social media,arbitrary scale,new algorithm,new approach,real time,data structure,interesting tag,flickr,visualization,flickr service,interval cov- ering,efficient backend system,efficient generation,web browser,temporal evolution
Data structure,Data mining,World Wide Web,Social media,Information retrieval,Web browser,Computer science,Visualization,Image sharing,Append,Animation
Journal
Volume
Issue
ISSN
1
2
1559-1131
Citations 
PageRank 
References 
160
18.85
19
Authors
6
Search Limit
100160
Name
Order
Citations
PageRank
Micah Dubinko116018.85
Ravi Kumar2139321642.48
Joseph Magnani316018.85
Jasmine Novak42182295.42
Prabhakar Raghavan5133512776.61
Andrew Tomkins693881401.23