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Conference Paper
Estimating Social Tie Strength for Autonomous D2D Collaborations
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- Authors
- Jang-Ho Choi, Dong-oh Kang, Joonyoung Jung, Changseok Bae
- Issue Date
- 2014-12
- Citation
- International Conference on Computer Science and Information Technology (ICCSIT) 2014, pp.1-6
- Language
- English
- Type
- Conference Paper
- Abstract
- With the new paradigm, Internet of Things, devices are now able to share services and resources generating higher level of services. However, the management and configuration of the smart devices are often troublesome, interrupting user’s primary task. To automate the process of device collaboration, smart devices should be able to configure and manage themselves, self-identifying peer devices and their relationships. Hence, we proposed the concept of device sociality, which describes social relationship between devices. In device social network with device sociality, devices are able to detect peer devices and determine resources and services to share. To derive device sociality, we investigated social relationships between users and analyzed correlations between online social interactions and social relationships. Moreover, we also investigated social ties in terms of interaction direction, individual peculiarity, and network topology. In the experiment, we not only derived directional and individualized social affinity models, but also detected organizational structure and groups of the participants, confirming the potential of D2D collaboration.
- KSP Keywords
- Device Sociality, Interaction direction, Organizational Structure, Smart devices, Social Relationship, Social tie strength, Social ties, internet of things(IoT), network topology, social interaction, social network(SN)