Makoto Takamatsu, Tsuyoshi Tomioka, Eizaburo Iwata, M. Hasegawa
{"title":"A Study on Social Graph Analysis Using Beacon Bluetooth Radio Transmitter","authors":"Makoto Takamatsu, Tsuyoshi Tomioka, Eizaburo Iwata, M. Hasegawa","doi":"10.1109/CSII.2018.00023","DOIUrl":null,"url":null,"abstract":"Social graph analysis using Bluetooth radio transmitters called \"Beacon\" is discussed in this paper. Each person carries the beacon and a smart phone; the smart phone is performed for a receiver. Someone's smart phone can recognize another person's beacon and the distance between the two persons. As the result, our social graph can be generated using those data. Graph pruning is necessary, and we discuss how to determine the two threshold parameters for the distance between two persons and the received signal reception frequency. We show one guideline to determine the two threshold. A system simulation is shown in our experiments.","PeriodicalId":202365,"journal":{"name":"2018 5th International Conference on Computational Science/ Intelligence and Applied Informatics (CSII)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 5th International Conference on Computational Science/ Intelligence and Applied Informatics (CSII)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSII.2018.00023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Social graph analysis using Bluetooth radio transmitters called "Beacon" is discussed in this paper. Each person carries the beacon and a smart phone; the smart phone is performed for a receiver. Someone's smart phone can recognize another person's beacon and the distance between the two persons. As the result, our social graph can be generated using those data. Graph pruning is necessary, and we discuss how to determine the two threshold parameters for the distance between two persons and the received signal reception frequency. We show one guideline to determine the two threshold. A system simulation is shown in our experiments.
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