Estimation of Human Social Relation Based on Device Connectivity
D. Kang, and C. Bae. Advances in Computer Science and Ubiquitous Computing, page 471--476. Singapore, Springer Singapore, (2015)
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.
%0 Conference Paper
%1 10.1007/978-981-10-0281-6_68
%A Kang, Dong-oh
%A Bae, Changseok
%B Advances in Computer Science and Ubiquitous Computing
%C Singapore
%D 2015
%E Park, Doo-Soon
%E Chao, Han-Chieh
%E Jeong, Young-Sik
%E Park, James J. (Jong Hyuk)
%I Springer Singapore
%K DaZu closeness device vtogether
%P 471--476
%T Estimation of Human Social Relation Based on Device Connectivity
%X 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.
%@ 978-981-10-0281-6
@inproceedings{10.1007/978-981-10-0281-6_68,
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.},
added-at = {2022-02-07T15:04:14.000+0100},
address = {Singapore},
author = {Kang, Dong-oh and Bae, Changseok},
biburl = {https://www.bibsonomy.org/bibtex/21503e73370426408c7ffb1f814521d8f/tomhanika},
booktitle = {Advances in Computer Science and Ubiquitous Computing},
editor = {Park, Doo-Soon and Chao, Han-Chieh and Jeong, Young-Sik and Park, James J. (Jong Hyuk)},
interhash = {9b3fce4522283c7d32fec449fba4a726},
intrahash = {1503e73370426408c7ffb1f814521d8f},
isbn = {978-981-10-0281-6},
keywords = {DaZu closeness device vtogether},
pages = {471--476},
publisher = {Springer Singapore},
timestamp = {2022-02-12T11:39:39.000+0100},
title = {Estimation of Human Social Relation Based on Device Connectivity},
year = 2015
}