Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Location-based social network users through a lense: Examining temporal user patterns

Pelechrinis, K and Krishnamurthy, P (2012) Location-based social network users through a lense: Examining temporal user patterns. AAAI Fall Symposium - Technical Report, FS-12-. 61 - 68.

[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)


There has been a rapid proliferation of location-based social networks (LBSNs) during the last years. The spatial component of these systems provides a rich source of information that can be exploited by a number of novel services. However, to better design such services, it is important to understand the way people make use of these platforms and how this usage changes over time. While there exist studies that examine the motivations of people for adopting the usage of LBSNs and the temporal dynamics of these motivations, they are based on interviews and are mostly qualitative. Motivations can further only indirectly reveal or help us infer user behavior. In this paper, we analyze data from two commercial LBSNs to examine the temporal evolution of usage patterns to see what the data on their own reveal. We find that users of two social networks that we examined increase their level of activity as they use the system. However, depending on the main purpose of the underlying LBSN, users may exhibit different behaviors over time. We believe that our findings can open new directions and stimulate further research on areas such as location prediction and its applications (e.g., urban and transportation planning and location-based advertisment). Copyright © 2012, Association for the Advancement of Artificial Intelligence ( All rights reserved.


Social Networking:
Share |


Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Pelechrinis, Kkpele@pitt.eduKPELE0000-0002-6443-3935
Krishnamurthy, Pprashk@pitt.eduPRASHK
Date: 1 December 2012
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: AAAI Fall Symposium - Technical Report
Volume: FS-12-
Page Range: 61 - 68
Event Type: Conference
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Telecommunications
Refereed: Yes
Date Deposited: 28 May 2013 16:40
Last Modified: 14 Mar 2021 10:58


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item