el 18(18): e4

Research Article

Analysis of Student Online Interaction Behavior: A Social Relationship Perspective

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  • @ARTICLE{10.4108/eai.12-3-2019.156835,
        author={Peiyan Yuan and Hai Yu and Ping Liu},
        title={Analysis of Student Online Interaction Behavior: A Social Relationship Perspective},
        journal={EAI Endorsed Transactions on e-Learning},
        volume={5},
        number={18},
        publisher={EAI},
        journal_a={EL},
        year={2018},
        month={10},
        keywords={Mobile opportunistic networks; User contact behavior; Social relationship; Hotspots},
        doi={10.4108/eai.12-3-2019.156835}
    }
    
  • Peiyan Yuan
    Hai Yu
    Ping Liu
    Year: 2018
    Analysis of Student Online Interaction Behavior: A Social Relationship Perspective
    EL
    EAI
    DOI: 10.4108/eai.12-3-2019.156835
Peiyan Yuan1,*, Hai Yu1, Ping Liu1
  • 1: School of Computer and Information Engineering, Henan Normal University 46# Construction East Road, Xinxiang, Henan, China 453007
*Contact email: peiyan@htu.cn

Abstract

Mobile opportunistic networks (MONs) have been attracting increasing amounts of attention in recent years. Characterizing user contact behavior provides a baseline to evaluate the performance of these networks. However, because the contact distribution of nodes in MONs is conventionally modeled from a large-scale perspective, i.e., by aggregating all node pairs, the contact features of nodes with multiple social relationships are not reflected. Thus, it is not clear whether friends and strangers have similar or different contact behaviors. In this study, we aggregated the contact information of users from the real world, and discovered that two phenomena exist: (1) Most friends or strangers make contact at public hotspots, rather than private hotspots; (2) The distribution of intra-contact time (ICT) exhibits different decay factors---the ICT distribution of strangers is predominantly faster than that of friends.