The ever increasing popularity of location aware mobile devices, has facilitated the collection of large amounts of human mobility data. This data usually contains where a person was and when, which can give us an insight into the complex social behavior of people. In this paper we explore the use of co-location as a means to estimate the strength of relationship between people. First we modify existing co-location algorithms to take the significance of the location of co-occurrence into account in predicting relationship strength. Next, we propose a system to identify social groups that exists in geographic areas called Local Social Groups by using co-location information. Finally, we run extensive experiments on our sample data to test the efficiency of our approach.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.