|   | CMU-ISR-10-107 Institute for Software Research
 School of Computer Science, Carnegie Mellon University
 
    
     
 CMU-ISR-10-107
 
Bridging the Gap BetweenPhysical Location and Online Social Networks
 
Justin Cranshaw, Eran TochJason Hong, Aniket Kittur, Norman Sadeh
 
March 2010  
An expanded version of this work appeared in theProceedings of the 12th ACM International Conference
 on Ubiquitous Computing
 Copenhagen, Denmark, September 2010
 
CMU-ISR-10-107.pdf Keywords: Location sensing, Location tracking, Social
network analysis, Social computing, Human-computer interaction
 This paper examines the location traces of 489 users of a location sharing 
social network for relationships between the users' mobility patterns and 
structural properties of their underlying social network. We introduce a 
novel set of location-based features for analyzing the social context of a 
geographic region, including location entropy, which measures the diversity of
unique visitors of a location. Using these features, we provide a model for 
predicting friendship between two users by analyzing their location trails. 
Our model achieves significant gains over simpler models based only on direct 
properties of the co-location histories, such as the number of co-locations. 
We also show a positive relationship between the entropy of the locations the
user visits and the number of social ties that user has in the network. We 
discuss how the offline mobility of users can have implications for both 
researchers and designers of online social networks.
 
23 pages 
 |