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A comparison of Foursquare and Instagram to the study of city dynamics and urban social behavior

A comparison of Foursquare and Instagram to the study of city dynamics and urban social behavior,Thiago H. Silva,Pedro O. S. Vaz de Melo,Jussara M. Al

A comparison of Foursquare and Instagram to the study of city dynamics and urban social behavior  
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Social media systems allow a user connected to the Internet to pro- vide useful data about the context in which they are at any given moment, such as Instagram and Foursquare, which are called par- ticipatory sensing systems. Location sharing services are examples of participatory sensing systems. The sensed data is a check-in of a particular place that indicates, for instance, a restau rant in a specific location, and also a signal from a user expressing hi s/her preference. From a participatory sensing system we can derive a participatory sensor network. In this work we compare two differ- ent participatory sensor networks, one derived from Instagram, and another one derived from Foursquare. In Instagram, the sensed data is a picture of a specific place. On the other hand, in Foursqua re the sensed data is the actual location associated with a spec ific cate- gory of place (e.g., restaurant). Using those social networ ks we can extract information in many ways. In this work we are interested in comparing two datasets of Foursquare and two datasets of Insta- gram. We analyze those datasets to investigate whether we can ob- serve the same users' movement pattern, the popularity of re gions in cities, the activities of users who use those social netwo rks, and how users share their content along the time. In answering those questions, we want to better understand location-related i nforma- tion, which is an important aspect of the urban phenomena.
Published in 2013.
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