Abstract
People in these days use personal smart device as a typical device to communicate with others. Talks, texts, SNS, and even e-mails are available over the smartphones. Thus, we can consider the smartphones are able to represent personal closeness. This paper proposes an estimation model of human social relationship based on analysis of device connectivity. We have collected device-level communication data, and analyze them to find out correlation with human social relationships. Experimental results show that the proposed estimation model has linear relationship between device connectivity and human social relations. We can employ these results to construct sociality between devices.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
ISO/IEC JTC 1/SWG 5, Study Report on Internet of Things (IoT). ISO/IEC JTC 1/SWG 5 N00238 (2014)
Talia, D.: Clouds Meet Agents: Toward Intelligent Cloud Services. IEEE Internet Computing 16, 78–81 (2012)
Tapia, D., Rodrı́guez, S., Corchado, J.: A distributed ambient intelligence based multi-agent system for Alzheimer health care. In: Pervasive Computing Computer Communications and Networks, pp. 181–199 (2010)
Atzori, L., Iera, A., Morabito, G.: SIoT: Giving a Social Structure to the Internet of Things. IEEE Communications Letters 15, 1193–1195 (2011)
Kosmatos, E., Tselikas, N., Boucouvalas, A.: Integrating RFIDs and smart objects into a unified internet of things architecture. Advances in Internet of Things 1, 5–12 (2011)
Kang, K., Kang, D., Bae, C.: Novel approach of device collaboration based on device social network. In: The 2013 Int. Conference on Consumer Electronics, pp. 248–249 (2013)
Granovetter, M.: A Theoretical Agenda for Economic Sociology, CCOP UC Berkeley (2000)
Kamilaris, A., Pitsillides, A.: Social networking of the smart home. In: Proc. of International Symposium on Personal Indoor and Mobile Radio Communications, pp. 2632–2637 (2010)
Roth, M., Ben-David, A., Deutscher, D., Flysher, G., Horn, I., Leichtberg, A., Leiser, N., Matias, Y., Merom, R.: Suggesting friends using the implicit social graph. In: Proc. of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 233–242 (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media Singapore
About this paper
Cite this paper
Kang, Do., Bae, C. (2015). Estimation of Human Social Relation Based on Device Connectivity. In: Park, DS., Chao, HC., Jeong, YS., Park, J. (eds) Advances in Computer Science and Ubiquitous Computing. Lecture Notes in Electrical Engineering, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-10-0281-6_68
Download citation
DOI: https://doi.org/10.1007/978-981-10-0281-6_68
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-0280-9
Online ISBN: 978-981-10-0281-6
eBook Packages: Computer ScienceComputer Science (R0)