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.
Index Terms—Device social, social relationship, social network, internet of things, communication, relationship model,
tie strength.
The authors are with Human Computing Research Section at Electronics and Telecommunications Research Institute (ETRI), Daejeon, 305-700 South Korea (e-mail: janghochoi@etri.re.kr, dongoh@etri.re.kr,
jyjung21@etri.re.kr, csbae@etri.re.kr).
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Cite: Jang-Ho Choi, Dong-Oh Kang, Joon Young Jung, and Changseok Bae, "Estimating Social Tie Strength for Autonomous D2D
Collaborations," International Journal of Future Computer and Communication vol. 4, no. 1, pp. 7-12, 2015.
