Paper Info
Title
A Picture of Instagram is Worth More Than a Thousand Words: Workload Characterization and Application
Abstract
Participatory sensing systems (PSSs) have the potential to become fundamental tools to support the study, in large scale, of urban social behavior and city dynamics. To that end, this work characterizes the photo sharing system Instagram, considered one of the currently most popular PSS on the Internet. Based on a dataset of approximately 2.3 million shared photos, we characterize user's behavior in the system showing that there are several advantages and opportunities for large scale sensing, such as a global coverage at low cost, but also challenges, such as a very unequal photo sharing frequency, both spatially and temporally. We also observe that the temporal photo sharing pattern is a good indicator about cultural behaviors, and also says a lot about certain classes of places. Moreover, we present an application to identify regions of interest in a city based on data obtained from Instagram, which illustrates the promising potential of PSSs for the study of city dynamics.
Year
DOI
Venue
2013
10.1109/DCOSS.2013.59
DCOSS
Keywords
Field
DocType
workload characterization,million shared photo,city dynamic,thousand words,photo sharing system instagram,promising potential,temporal photo sharing pattern,certain class,cultural behavior,unequal photo sharing frequency,urban social behavior,large scale,social networks,wireless sensor networks,planets,global positioning system,image processing,internet,real time systems,sensors
Social network,Workload,Computer science,Crowdsensing,Computer network,Global Positioning System,Wireless sensor network,Participatory sensing,The Internet
Conference
ISBN
Citations 
PageRank 
978-1-4799-0206-4
31
1.69
References 
Authors
18
6
Name
Order
Citations
PageRank
Thiago H. Silva118922.04
de Melo Pedro O. S. Vaz230732.37
Jussara M. Almeida33044310.86
Juliana P. Salles4705.26
Antonio Loureiro52406197.77
de Melo, P.O.S.V.6311.69