On the use of mobility data for discovery and description of social ties

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    Abstract

    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.
    Original languageUndefined
    Title of host publicationProceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2013)
    Place of PublicationNew York
    PublisherIEEE Computer Society
    Pages1229-1236
    Number of pages8
    ISBN (Print)978-1-4503-2240-9
    DOIs
    Publication statusPublished - 25 Aug 2013

    Publication series

    Name
    PublisherIEEE Computer Society

    Keywords

    • DB-DM: DATA MINING
    • social ties
    • EWI-23561
    • METIS-299981
    • link description
    • IR-87438
    • Mobility data
    • Social Networks

    Cite this

    Baratchi, M., Meratnia, N., & 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) (pp. 1229-1236). New York: IEEE Computer Society. https://doi.org/10.1145/2492517.2500263