Using Visualization to Explore Original and Anonymized LBSN Data

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dc.contributor.authorTarameshloo, Ebrahimen_US
dc.contributor.authorLoorak, Mona Hosseinkhanien_US
dc.contributor.authorFong, Philip W. L.en_US
dc.contributor.authorCarpendale, Sheelaghen_US
dc.contributor.editorKwan-Liu Ma and Giuseppe Santucci and Jarke van Wijken_US
dc.date.accessioned2016-06-09T09:32:52Z
dc.date.available2016-06-09T09:32:52Z
dc.date.issued2016en_US
dc.description.abstractWe present GSUVis, a visualization tool designed to provide better understanding of location-based social network (LBSN) data. LBSN data is one of the most important sources of information for transportation, marketing, health, and public safety. LBSN data consumers are interested in accessing and analysing data that is as complete and as accurate as possible. However, LBSN data contains sensitive information about individuals. Consequently, data anonymization is of critical importance if this data is to be made available to consumers. However, anonymization commonly reduces the utility of information available. Working with privacy experts, we designed GSUVis a visual analytic tool to help experts better understand the effects of anonymization techniques on LBSN data utility. One of GSUVis's primary goals is to make it possible for people to use LBSN data, without requiring them to gain deep knowledge about data anonymization. To inform the design of GSUVis, we interviewed privacy experts, and collected their tasks and system requirements. Based on this understanding, we designed and implemented GSUVis. It applies two anonymization algorithms for social and location trajectory data to a real-world LBSN dataset and visualizes the data both before and after anonymization. Through feedback from domain experts, we reflect on the effectiveness of GSUVis and the impact of anonymization using visualization.en_US
dc.description.number3en_US
dc.description.sectionheadersNetworks and Graphs 2en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume35en_US
dc.identifier.doi10.1111/cgf.12905en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages291-300en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12905en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectH.5.2 [Information Systems]en_US
dc.subjectInformation Interfaces and Presentationen_US
dc.subjectUser Interfaces D.4.6 [Security and Privacy]en_US
dc.subjecten_US
dc.subjectData Anonymizationen_US
dc.titleUsing Visualization to Explore Original and Anonymized LBSN Dataen_US
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35-Issue 3
EuroVis16: Eurographics Conference on Visualization