Song, Yang and Hu, Zheng and Leng, Xiaoming and Tian, Hui and Yang, Kun and Ke, Xin (2015) Friendship influence on mobile behavior of location based social network users. Journal of Communications and Networks, 17 (2). pp. 126-132. DOI https://doi.org/10.1109/jcn.2015.000026
Song, Yang and Hu, Zheng and Leng, Xiaoming and Tian, Hui and Yang, Kun and Ke, Xin (2015) Friendship influence on mobile behavior of location based social network users. Journal of Communications and Networks, 17 (2). pp. 126-132. DOI https://doi.org/10.1109/jcn.2015.000026
Song, Yang and Hu, Zheng and Leng, Xiaoming and Tian, Hui and Yang, Kun and Ke, Xin (2015) Friendship influence on mobile behavior of location based social network users. Journal of Communications and Networks, 17 (2). pp. 126-132. DOI https://doi.org/10.1109/jcn.2015.000026
Abstract
In mobile computing research area, it is highly desirable to understand the characteristics of user movement so that the user friendly location aware services could be rendered effectively. Location based social networks (LBSNs) have flourished recently and are of great potential for movement behavior exploration and datadriven application design. While there have been some efforts on user check-in movement behavior in LBSNs, they lack comprehensive analysis of social influence on them. To this end, the socialspatial influence and social-temporal influence are analyzed synthetically in this paper based on the related information exposed in LBSNs. The check-in movement behaviors of users are found to be affected by their social friendships both from spatial and temporal dimensions. Furthermore, a probabilistic model of user mobile behavior is proposed, incorporating the comprehensive social influence model with extent personal preference model. The experimental results validate that our proposed model can improve prediction accuracy compared to the state-of-the-art social historical model considering temporal information (SHM+T), which mainly studies the temporal cyclic patterns and uses them to model user mobility, while being with affordable complexity.
Item Type: | Article |
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Uncontrolled Keywords: | Human mobility; location based social network (LBSN); location prediction; social influence |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 09 Jul 2015 13:50 |
Last Modified: | 16 May 2024 16:52 |
URI: | http://repository.essex.ac.uk/id/eprint/14045 |