9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

Research Article

A Hybrid Mobility Model based on Social, Cultural and Language Diversity

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  • @INPROCEEDINGS{10.4108/icst.collaboratecom.2013.254175,
        author={Lutful Karim and Qusay Mahmoud},
        title={A Hybrid Mobility Model based on Social, Cultural and Language Diversity},
        proceedings={9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing},
        publisher={ICST},
        proceedings_a={COLLABORATECOM},
        year={2013},
        month={11},
        keywords={human mobility models; social networks; cultural impact; opportunistic networks; hybrid mobility model},
        doi={10.4108/icst.collaboratecom.2013.254175}
    }
    
  • Lutful Karim
    Qusay Mahmoud
    Year: 2013
    A Hybrid Mobility Model based on Social, Cultural and Language Diversity
    COLLABORATECOM
    IEEE
    DOI: 10.4108/icst.collaboratecom.2013.254175
Lutful Karim1, Qusay Mahmoud2,*
  • 1: Seneca College
  • 2: University of Ontario Institute of Technology
*Contact email: qusay.mahmoud@uoit.ca

Abstract

Human Mobility Models (HMMs) have become increasingly relevant in different application domains including networks designed for data dissemination protocols. Most existing HMMs consider the temporal and spatial features of human mobility. In addition, many recent HMMs based on social networks have begun to take into account social factors, which naturally influence the results of the HMMs. Unfortunately, these mobility models do not focus on the impact of several important social factors that can affect a person’s actions, such as language, citizenship, and culture. This paper introduces a hybrid human mobility model that integrates social behavior, cultural and language factors into HMMs in order to measure their effect on human mobility, as well as temporal and spatial features. Results demonstrate the feasibility of the proposed model.