Le, A and Pelechrinis, K and Krishnamurthy, P
(2014)
Country-level spatial dynamics of user activity: A case study in location-based social networks.
WebSci 2014 - Proceedings of the 2014 ACM Web Science Conference.
71 - 80.
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Abstract
Identifying and understanding the emerging patterns in user activity is an important step in designing and developing fea- tures for online social networks. With the explosive growth of user-generated data in such networks, the recorded user activities are no more sparse snapshots but are close to a live reflection of real life. This allows us to extract patterns which are tied to the time and space context of real life activity from such recorded data. In this work, we analyze two rich datasets obtained from two major location-based social net- works (Foursquare and Gowalla) and show how users change their activity patterns depending on the country they cur- rently reside on. We also compare activity patterns between foreign users from different countries and local users. The detailed results may not automatically generalize but this kind of analysis can be repeated on different datasets and the outcomes of such analyses can benefit social and behav- ioral scientists as well as designers of online social media. Copyright © 2014 ACM.
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Details
Item Type: |
Article
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Status: |
Published |
Creators/Authors: |
|
Date: |
1 January 2014 |
Date Type: |
Publication |
Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
Journal or Publication Title: |
WebSci 2014 - Proceedings of the 2014 ACM Web Science Conference |
Page Range: |
71 - 80 |
Event Type: |
Conference |
DOI or Unique Handle: |
10.1145/2615569.2615689 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
School of Information Sciences > Telecommunications |
Refereed: |
Yes |
ISBN: |
9781450326223 |
Date Deposited: |
11 Jun 2014 15:45 |
Last Modified: |
10 Apr 2020 13:55 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/21795 |
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