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23561 On the use of mobility data for discovery and description of social ties
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Baratchi, M. and Meratnia, N. and Havinga, P.J.M. (2013) On the use of mobility data for discovery and description of social ties. In: Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013), 25-28 Aug 2013, Niagara falls, Canada. pp. 1229-1236. ACM. ISBN 978-1-4503-2240-9

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Ever-increasing emergence of location-aware ubiquitous devices has facilitated collection of time-stamped mobility data. This large volume of data not only provides trajectory information but also information about social interaction between individuals. Unlike trajectory representation and discovery, discovery of social ties and interactions hidden in mobility data has not yet been fully explored. To identify such interaction, social network analysis has been recently used. However, compared with data from emails, phone calls, and messages, which are commonly used for social network analysis, mobility data convey less information about interaction between entities. Therefore, identifying the type of tie between two entities using only mobility data is a great challenge. In this paper, we propose a method for measuring the strength and type of social ties between people only based on their spatio-temporal correlations. Using mutual information metric, we propose utilization of two types of measures for identifying the purpose of being in a certain location. Our experimental results using a location-aware sensing device show that our method can identify different social ties between various entities successfully.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-PS: Pervasive Systems
Research Program:CTIT-WiSe: Wireless and Sensor Systems
Research Project:COMMIT/SENSA: Sensor Networks for Public Safety
Additional Information:The paper was presented at the 5th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2013)
Uncontrolled Keywords:Mobility data; social ties; link description; social networks
ID Code:23561
Deposited On:13 October 2013
More Information:statisticsmetis

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