B. Demianyk, D. Sandison, B. Libbey, R. Guderian, R. McLeod, Mehmet Rasit Eskicioglu, M. Friesen, K. Ferens, S. Mukhi
{"title":"Technologies to generate contact graphs for personal social networks","authors":"B. Demianyk, D. Sandison, B. Libbey, R. Guderian, R. McLeod, Mehmet Rasit Eskicioglu, M. Friesen, K. Ferens, S. Mukhi","doi":"10.1109/HEALTH.2010.5556576","DOIUrl":null,"url":null,"abstract":"This paper presents three novel means of collecting and analyzing data to generate contact graphs of personal social networks. The means of collection include a web based service, an RFID system, and a network application running on a wireless sensor network. Data generated from networks of personal contact are demonstrated to be of utility in estimating the potential of the spread of a infection such as would be associated with the recent outbreak of H1N1 influenza.","PeriodicalId":112608,"journal":{"name":"The 12th IEEE International Conference on e-Health Networking, Applications and Services","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 12th IEEE International Conference on e-Health Networking, Applications and Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HEALTH.2010.5556576","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper presents three novel means of collecting and analyzing data to generate contact graphs of personal social networks. The means of collection include a web based service, an RFID system, and a network application running on a wireless sensor network. Data generated from networks of personal contact are demonstrated to be of utility in estimating the potential of the spread of a infection such as would be associated with the recent outbreak of H1N1 influenza.